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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 ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...
The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
A collaborative approach to training AI models can yield better results, but it requires finding partners with data that complements your own.
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