Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...

Probabilistic timing analysis represents an emergent paradigm in the evaluation of real-time systems, addressing inherent uncertainties that traditional worst-case execution time (WCET) methods ...

Risk and uncertainty are rarely evaluated as an integral part of the planning process. An array of risks—from hydrocarbon potential and operating characteristics, to political or market factors—can ...

The design and construction of capital projects can be extremely complex. Uncertainty and risk add to this complexity and, as a result, many projects experience significant cost overruns and schedule ...

The gambler, the quantum physicist and the juror all reason about probabilities: the probability of winning, of a radioactive atom decaying, of a defendant’s guilt. But despite their ubiquity, experts ...

Cross-impact analysis is widely employed to inform management and policy decisions based on the formulation of scenarios which are defined as combinations of outcomes of relevant uncertainty factors.

Learn to apply Bayes' theorem in financial forecasting for insightful, updated predictions. Enhance decision-making with ...

A DARPA-funded processor start-up has made bold claims about a new kind of processor that computes using probabilities, rather than the traditional ones and zeroes of conventional processors. Lyric ...