This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...
Recent studies indicate that combining AI’s analytical capabilities with human expertise can improve the accuracy and effectiveness of student success initiatives. Interpretable machine learning ...
Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...
Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.
The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...
Scientists turned to AI to help develop a new alloy that’s perfect for a simple 3D-printing process.
A robust and quantitative map links chromatin modification and gene expression of cells during zebrafish embryogenesis.
Brain age index from sleep EEG predicts dementia risk, offering a non-invasive early marker for identifying high risk individuals in community settings.
Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...
A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...
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