When designing experiments, one is on the lookout for confounds. These are systematic, consistent differences between the experimental and the control conditions, differences that the experimenter is ...

With the usage of micropipettes in the life science laboratory, various pipette and pipetting errors have been linked. Users familiar with such micropipette issues can assist users to reduce further ...

The field of AI and machine learning is arguably built on the shoulders of a few hundred papers, many of which draw conclusions using data from a subset of public datasets. Large, labeled corpora have ...

GPS pseudorange and carrier-phase measurements are both affected by several types of random errors and biases (systematic errors). These errors may be classified as those originating at the satellites ...

When gathering a measurement using a spectroscopy instrument, the user wants to be confident in the result. Whether the technique is OES, XRF, or LIBS, or if thickness or composition are measured, the ...

As artificial intelligence systems grow more advanced, their failures are becoming increasingly unpredictable and chaotic. Recent research, highlighted by Claudius Papirus, introduces the concept of ...