IEEE Spectrum on MSN
Can AI find physics beyond the standard model?
AI is searching particle colliders for the unexpected ...
The reason for this shift is simple: data gravity. The core holds the most complete, consistent and authoritative dataset ...
IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...
Anyone watching Caleb Williams’ desperation fourth-down touchdown pass in the divisional round knew how improbable a play it ...
Learn how sportsbooks set odds. We break down odds compilation engines, from raw data ingestion and probability models to ...
The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...
Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...
“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
Net income is a key financial indicator that reflects the actual performance of the banking sector and its ability to achieve long-term profitability and sustainability. According to World Bank ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
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