Nature

Machine learning-based optimization of photogrammetric JRC accuracy

To improve the accuracy of photogrammetric joint roughness coefficient (JRC) estimation, this study proposes two optimization models based on ground sample distance ...
Nasdaq

NTT Researchers Advance AI and Machine Learning Accuracy, Security and Cost Effectiveness ...

NTT Research and NTT R&D scientists presented 12 papers at ICML 2025, one of the world’s most prestigious conferences on AI and machine learning. Three papers co-authored by NTT Research Physics of AI ...
C&EN

Machine learning helps improve accuracy and efficiency of small-molecule calculations

When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Nature

Machine learning model optimization with optuna for accurate prediction of strength and ...

Prestressed concrete beams are widely used in bridge and building structures, and their performance is directly related to the overall safety and durability. To predict the performance of prestressed ...
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
Frontiers

Numerical foundations for scalable statistical and machine learning methods

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations ...

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...