Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.
To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...
Recently, the global winners of the 2026 Noble Technology Awards have been officially announced. Young data scientist ...
SEED-SET enhances ethical evaluation of autonomous systems through a hierarchical Bayesian framework, optimizing alignment ...
(spidroins) through long-read transcriptomics across a broad phylogenetic range, with theoretical implications for protein family evolution, biomaterials, and silk biology. By identifying putative ...
People often solve simple arithmetic problems, such as basic addition, subtraction, multiplication or division, in their ...
A global study reveals a sharp rise in metabolic syndrome prevalence from 2000 to 2023, highlighting urgent public health ...
It also plays a key role in understanding how intelligent AI is, preventing the misallocation of resources, and guiding ...
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Meet renowned US-based statistics and computer science expert who joins Fields Medalist Ngo Bao Chau to mentor Vietnamese math talents
Nguyen Xuan Long, a globally recognized expert in statistical inference and machine learning currently based in the United ...
Researchers have proposed an efficient feature search approach for estimating the state of health of lithium-ion batteries, ...
Researchers have developed an uncertainty quantification-based framework for predicting degradation trends in proton exchange ...
Why conservatives have a duty to distrust official narratives amid historical and recent government deceptions.
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