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 ...

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.

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

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 ...

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 ...

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

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

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 ...

A new study links urinary metabolites from organophosphorus pesticides to increased age-related macular degeneration risk.

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 ...

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