Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

This article examines the work of data scientist Sai Prashanth Pathi in AI for credit risk, focusing on explainable machine ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...