For-profit players lead in building AI learning tools—but the history of ed tech points the way toward a different kind of ...

Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, ...

Using machine learning and math, a BYU student improved a key tool firefighters rely on during wildfire season ...

Rainier’s commanding presence explains why Amazon Web Services (AWS) borrowed its name for a project that similarly dwarfs ...

The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

The training of molecular models of quantum mechanical properties based on statistical machine learning requires large data sets which exemplify the map from chemical structure to molecular property.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A research team including members from the University of Michigan have unveiled a new observational technique that's ...

A machine learning-based UPI fraud detection system that analyzes transaction patterns to identify and flag suspicious activity. The project includes data preprocessing, model training, and a ...

There is an exigency of adopting machine learning techniques to screen and discover new materials which could address many societal and technological challenges. In this work, we follow this trend and ...

Projects that collect atomistic ML resources or foster communication within community. 🔗 ACE / GRACE support - Support forum for the Atomic Cluster Expansion (ACE) and extensions. 🔗 AI for Science ...