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 ...

What Is A Probabilistic Model? A probabilistic model is a statistical tool that accounts for randomness or uncertainty when predicting future events. Instead of giving a definitive answer, it ...

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

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 ...

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 ...

Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by AJ Brown, CEO and co-founder of LeadsRx.

Here’s how an AI-powered trader earned $2.2 million on Polymarket using data models, automation and probability-based trading ...

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 ...

This article explores the potential of large language models (LLMs) in reliability systems engineering, highlighting their ...