Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...
AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...
Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Forget waiting a week for mold test results. New electronic nose technology detects toxic indoor mold species in just 30 ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
A new technique which slashes the time taken to diagnose microbial infections from days to minutes could help save lives and ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...