We live in an age defined by volatility, uncertainty, complexity, and ambiguity. In such an environment, risk is no longer a peripheral concern delegated to compliance teams or internal auditors. It ...

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

Complex adaptive systems (CASs) are groups of semi-autonomous agents that interact in interdependent ways, to produce system-wide patterns. All CASs share common features, regardless of whether the ...

Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial ...

A new technique can help researchers who use Bayesian inference achieve more accurate results more quickly, without a lot of additional work. Pollsters trying to predict presidential election results ...

Quantifying uncertainty in carbon accounting is essential at scales ranging from individual projects to country-level compensation for reducing emissions from deforestation and forest degradation.