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

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

AI can assist early warning systems that predict impacts of extreme weather events such as droughts and heavy rainfall.

Software Bug Prediction (SBP) is an integral process to the software’s success that involves predicting software bugs before their occurrence. Detecting software bugs early in the development process ...

Forest fires constitute a widespread and impactful natural disaster, annually ravaging millions of hectares of forests and posing a severe threat to human life and property. Accurate quantitative ...

Microsoft researchers believe they have found a way to use machine learning to push those limits for small molecules (arXiv 2025, DOI: 10.48550/arXiv.2506.14665).

In the lab of Diane Wang, associate professor of agronomy, Ph.D. student Sajad Jamshidi is using advanced machine learning models to simulate rice yields under future climate conditions.

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

Weather Prediction Using Machine Learning is a project that leverages machine learning algorithms to predict weather conditions based on historical data. It evaluates three popular ML models (Decision ...

Welcome to pull requests! Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you ...