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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 development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...
Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
Enterprises that continue to layer AI onto existing analytics frameworks will continue to see incremental gains. Those that ...
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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