Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...

By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...

Nigeria’s market community is moving beyond basic chart patterns. Affordable computing and better data feeds are putting machine learning signals on the phones of traders in Lagos, Abuja, and Port ...

Artificial intelligence (AI) is revolutionising the field of drug discovery and disease modelling, with a significant impact ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...