In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...
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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 ...
This important study builds on previous work from the same authors to present a conceptually distinct workflow for cryo-EM reconstruction that uses 2D template matching to enable high-resolution ...
The global cryptocurrency derivatives market underwent a structural transformation in 2025, shifting away from retail-driven speculation toward institutional capital and more complex risk dynamics ...
Pupil dilation provides a physiological readout of information gain during the brain's internal process of belief updating in the context of associative learning.
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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