Measurement uncertainty, as described in ISO/IEC Guide 98, is a “parameter, associated with the result of a measurement, [which] characterizes the dispersion of values that could reasonably be ...

AI models aren’t infallible; that’s why a prediction is often accompanied by a confidence score. Thanks to a recent study, these uncertainty estimates are now more accurate, efficient and scalable.

Reaction network complexity limits the understanding and modelling of experimental behaviour in combustion, metabolic engineering and catalysis, among other fields. The sheer number of possible ...