Uncertainty quantification (UQ) encompasses the systematic characterisation and propagation of uncertainties in computational models to assess the credibility of simulation predictions. It addresses ...

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks are largely unaware of the limits of their training data and can become ...

Between collecting data, conducting experiments and running simulations, uncertainty permeates science and engineering. So, understanding and accounting for uncertainty is an important aspect of ...

A new AI “wrapper” helps detect uncertainty in pathology models, improving accuracy, fairness, and safety in cancer ...