Abstract: The increasing power of computing platforms and the recent advances in data science techniques have fostered the development of data-driven computational models of engineering systems with ...

A course in Uncertainty Quantification with an emphasis on formulating and computation to extract predictions and uncertainty in computational and simulation models (including when real data ...

In Chapter 1, verification is defined as the process of determining how accurately a computer program (“code”) correctly solves the equations of a mathematical model. This includes code verification ...

MIT researchers have developed a reinforcement learning method, RLCR, that trains AI models to provide calibrated confidence estimates alongside answers, reducing overconfidence by up to 90% without ...

AI is becoming more capable, but research shows it often falters in how it reasons—especially in high-stakes fields like healthcare, law, and drug discovery. Studies reveal large language models can ...