Causal loop diagrams are visual aids for analyzing relationships between variables. They can serve as a means of identifying ...

Errors in causal diagrams elicited from experts can lead to the omission of important confounding variables from adjustment sets and render causal inferences invalid. In this report, a novel method is ...

Signal integrity is a critical design consideration in modern electronic systems, particularly those that depend on high-speed interconnects. As data rates climb and interconnect geometries become ...

Root-cause analysis is core to problem-solving across many fields. From hospitals searching for patient safety issues to engineers diagnosing faults in complex machinery, finding the source of a ...

LONDON--(BUSINESS WIRE)--causaLens, a deep-tech company predicting and optimising the global economy, has released the World’s first causal Artificial Intelligence (causal AI) enterprise platform.