The National Renewable Energy Laboratory announced that in 2024, NREL's Kestrel high performance computing system powered ...

W Converting's Accelerate digital services initiative, focused on fault anomalies, has been chosen as a project for the ...

A new discovery of how bees use their flight movements to facilitate remarkably accurate learning and recognition of complex visual patterns could mark a major change in how next-generation AI is ...

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 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 ...