Large language models (LLMs) have revolutionized the AI landscape, demonstrating remarkable capabilities across a wide range ...
Understanding how drugs interact with their molecular targets at the atomic level is central to modern drug discovery.
Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...
Abstract: The matrix Bingham distribution is a measure on the set of low-dimensional frames that has found applications in mixture models, shape analysis, statistical signal processing, and control.
Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...
Abstract: CT scanning yields useful information on the internal anatomy or pathology of the human body. Researchers are always working to use low radiation doses to create CT that is both high-quality ...
A research team has unveiled a non-destructive, highly accurate approach for determining the optimal timing of embryo rescue ...
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