A proposed artificial intelligence tool to support clinician decision-making about hospital patients at risk for sepsis has an unusual feature: accounting for its lack of certainty and suggesting what demographic data, vital signs and lab test results it needs to improve its predictive performance.
source https://www.sciencedaily.com/releases/2024/08/240827104942.htm
Honeybees adjust their dances based on information reliability, study
reveals
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A new study demonstrates that honeybees can evaluate the reliability of
their own communication, actively adjusting the vigor of their "waggle
dance" based...
15 hours ago
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