When predictions were deemed confident, recall decisions were made by the model; otherwise, radiologist double reading was applied. HealthDay News — An artificial intelligence (AI) strategy can reduce ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

FASB Interpretation no. 48 (FIN 48), Accounting for Uncertainty in Income Taxes, sets the threshold for recognizing the benefits of tax return positions in financial statements as “more likely than ...

The following section is provided as a means of introducing uncertainty analysis as a tool for model design and operation. However, you should consult standard statistical and other texts (e.g., ...

How does Thermo Fisher Scientific's analytical software support the calculation of measurement uncertainty? Wilhelm Sanders: According to DIN EN ISO 17025, it is necessary to calculate the measurement ...

PV yield forecasts are widely considered to be inaccurate, partly because they underestimate uncertainty. Image: Tilt Renewables. The uncertainty in energy yield forecasts is frequently underestimated ...

At-a-Glance: Machine learning accelerates subsurface understanding by automating seismic interpretation, improving property prediction, and sharpening prospect risking—compressing exploration cycle ...

Every year an increasing number of laboratories using OES (Optical Emission Spectroscopy) spectrometers get accredited according to DIN EN ISO 17025. Compliance with DIN EN ISO 17025 has elevated the ...

Uncertainty makes us uncomfortable. Yet the research is clear: It is essential for growth. The challenge isn’t eliminating ambiguity but learning to navigate it.