A new study reports that Random Forest and Gaussian and Sigmoid kernel Support Vector Machines, combined with systematic ...
A model-development study using 471 specialist nurse samples achieved an AUC of 0.766 for distinguishing stated transfer ...
HSBC says it’s designed a machine-learning model to predict the direction of the most important financial instrument in global markets.
An AI approach developed by researchers from the University of Sheffield and AstraZeneca, could make it easier to design proteins needed for new treatments. Inverse protein folding is a critical ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
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 ...
Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns.
In quantitative trading research, a significant amount of time is spent on model architecture, feature engineering, and ...
Machine learning projects can succeed or fail based on a single, seemingly simple factor: data quality. Data scientists and engineers have recognized -- often through hard-won lessons -- that this ...
In eThekwini, researchers have harnessed machine learning and satellite data to spot the city's most landslide-prone zones. A ...