Discover how large language models secretly encode deeper truthfulness within "exact answer tokens," unlocking potential for enhanced error detection and reducing AI ...

Software verification techniques such as pattern-based static code analysis, runtime memory monitoring, unit testing, and flow analysis are all valuable techniques for finding bugs in embedded C ...

Autonomous and semi-autonomous vehicles are increasingly common, with most relying primarily on AI-powered cameras that rapidly detect vehicles, people, and obstacles within the frame and use that ...

Performing computerized analysis to identify patients receiving target drugs that may be used to treat a medication error or to search for serum drug concentration ...

Editing in surveys of economic populations is often complicated by the fact that outliers due to errors in the data are mixed in with correct, but extreme, data values. We describe and evaluate two ...

This paper considers estimation of the unknown size N of a population based on multiple capture-recapture samples. We extend the Bayesian multiple recapture model to accommodate possible heterogeneity ...

The validity and cost-effectiveness of three methods for detecting medication errors were examined. A stratified random sample of 36 hospitals and skilled-nursing facilities in Colorado and Georgia ...