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

Together, these advancements have resulted in steady improvement over the years in the overall accuracy of weather ...

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

We use a machine learning technique called conformal prediction. Conformal prediction is like a wrapper around an existing, already trained machine learning algorithm that adds an uncertainty ...

By combining machine learning with traditional atmospheric ... This capability benefits industries and communities that rely ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such ...

Credit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 Comparison of FVCOM, ML and FVCOM-ML results for storm surge prediction.

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.

Whereas machine learning can make predictions, he said artificial intelligence can make adjustments to its computations. ... Tasker agreed. "AI has the potential to supercharge human capacity, making ...