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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 use of motion data is expanding from fitness and rehabilitation to general health. Todor Tsvetkov/E+ via Getty Images People often take walking for granted. We just move, one step after another, ...
As logistics networks grow more complex, warehouse leaders are often inundated with data but lack clarity on where to focus. Easy Metrics AI Agents address this challenge by using artificial ...
Measuring ROI and Performance Metrics in ML-Driven Data Initiatives Quantifying the return on investment for machine learning projects remains a critical concern for enterprises seeking to justify ...
New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
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Turning motion into medicine: How AI, motion capture and wearables can improve your health
People often take walking for granted. We just move, one step after another, without ever thinking about what it takes to make that happen. Yet every single step is an extraordinary act of ...
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