Researchers at Rice University have developed a new machine learning (ML) algorithm that excels at interpreting the "light ...

Santa Clara, California - As artificial intelligence and machine learning evolve and mature, the emergence of synthetic data ...

The integration of AI, satellite data, GIS, UAVs, and GTD marks a paradigm shift from reactive to proactive coastal ...

The study advanced beyond a one-size-fits-all model by developing both a global XGBoost classifier and cancer-type-specific ...

Yu Zhang and Jingchen Zhang of China Patent Agent (HK) explain how patent applicants can adjust to the latest changes in ...

Feature sets were assessed in terms of the balanced accuracy of logistic regression models in cancer sub-type classification. Results: On the TCGA pan-squamous dataset, our quantum-enhanced algorithm ...

Multi-fidelity optimization algorithms are a solution to alleviate this computational ... us to show how our proposal improves the state-of-the-art in different classification and regression problems.

This project is aimed at predicting whether it will rain in different locations of Australia using machine learning. The dataset used for this project was obtained from [Kaggle] and it contains ...