A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Increase agricultural productivity in India using machine learning-based crop recommendation systems for improved yields and ...

Using machine learning models researchers have found in a new study that increased physical activity and reduced sedentary ...

A new study published in the Journal of Plant Ecology has found that temperate forest tree species, regardless of their root ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system that exceeds human discernment when it comes to measuring ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

Purdue Agriculture researchers are harnessing the power of artificial intelligence (AI) and machine learning (ML) to amplify ...