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

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

Broadcom enters 2026 at an inflection point, with strong tailwinds from its ASIC and Networking segments. Read why AVGO stock ...

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

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 ...

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

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

Wildfire seasons that once felt exceptional are now routine, and the smoke they generate is emerging as a far more potent ...

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 ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Encapsulated microbubbles (EMBs), tiny gas-filled bubbles coated in lipid or protein shells, play a central role in ...