Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, Polars, and LangChain ...

Global solar radiation (Hg) is a foundational input for calculating evapotranspiration, crop growth, irrigation needs, and ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

To delineate the metastatic microenvironment,, researchers in China have developed an explainable machine learning model that identifies ... insights into how each feature influenced the model's ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

Researchers have combining advanced AI techniques with First Nations seasonal data and discovered a 14.6% more accurate way ...