Databricks expands tools for governing and evaluating AI agents

The new capabilities are available starting today, with some features in beta or public preview.
ascopubs.org

Machine Learning Model Integrating Computed Tomography Image–Derived Radiomics and ...

This predictive model built on readily acquired clinical data provides encouraging results for the detection of residual disease. External validation and prospective studies implementing the model in ...
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 ...
The American Journal of Managed Care

AI Model Accurately Predicts PH Risk in Patients With CKD

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...
KTLA

Advanced Machine Learning Model Achieves 97.97% Accuracy in Earthquake Forecasting for High ...

Georgia Southern University researchers develop a machine learning model with 97.97% accuracy in earthquake forecasting. STATESBORO, GA, UNITED STATES, October 29 ...
C&EN

Machine learning helps density functional theory model molecules accurately

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...