Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...
Our preference for sweet tastes represents an elegant evolutionary adaptation. The ability to detect sweet substances likely ...
As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...
Eiko Fried has been appointed professor of Mental Health & Data Science. This combined chair neatly fits the view that understanding complex mental ...
Over the past decades, large-scale human genetic studies have identified numerous risk genes and variants associated with complex diseases and traits.
System, a Public Benefit Corporation developing a systems-based approach to organize the world's data and knowledge, announced today it has been awarded a $6.5M investment from Wellcome. "Wellcome's ...
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Detecting AI-Written Text: Challenge for AI
People and institutions are grappling with the consequences of AI-written text . Teachers want to know whether students' work reflects their own ...
Learn how acceptance sampling improves quality control by evaluating random samples. Discover its methods, benefits, and historical significance in manufacturing.
A new study published in Social Psychological and Personality Science challenges the conventional wisdom regarding the ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
Background Evaluating progress towards WHO End Tuberculosis Strategy goals is crucial for high burden countries like the ...
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