Probabilistic model checking and Markov decision processes (MDPs) form two interlinked branches of formal analysis for systems operating under uncertainty. These techniques offer a mathematical ...

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Do you use these mental models for efficient decision-making in your daily life? If not, you’re missing out on the opportunity to make more thoughtful and informed choices. Mental models are cognitive ...

To determine maximum aggregate component materiality levels, we first use the cumulative binomial distribution to derive the maximum number of components that can be allowed to simultaneously contain ...

At the outset of his career — before he developed a model for high-stakes decision-making, swapped ideas with Nobel laureates, or lectured for NATO — Roman Krzysztofowicz used his love of math to ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.

The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in ...

Discover how new resilience models are revolutionizing post-earthquake tunnel recovery. A groundbreaking study in Engineering ...