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Storm surge predictions get a boost from hybrid wind field and machine learning models

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, has developed a method for predicting storm surges. This innovative ...
Analytics Insight

Best Tools to Visualize and Understand Machine Learning Models: Top Picks

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Devdiscourse

AI-driven rainfall forecasting shows major gains in predicting flood-triggering storms

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
insideHPC

Dato Announces Machine Learning Tools to Help Developers and Users Build Confidence in Their Models and Predictions

Dato, creator of the popular machine learning platform GraphLab Create, announced tools to give scientists, developers and users confidence in machine learning models and predictions. Dato is the ...
ascopubs.org

Deep-Learning Model for Real-Time Prediction of Recurrence in Early-Stage Non–Small Cell Lung Cancer: A Multimodal Approach (RADAR CARE Study)

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...