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

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

Bayesian inference is a statistical method of inductive reasoning based on the reassessment of competing hypotheses in the presence of new evidence. Conceptually similar to the scientific method ...

Road networks are critical public assets that must be monitored, modeled, and maintained with rigor and efficiency. As agencies face heavier traffic, ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

In recent years, the big money has flowed toward LLMs and training; but this year, the emphasis is shifting toward AI ...

We consider the usual proportional hazards model in the case where the baseline hazard, the covariate link, and the covariate coefficients are all unknown. Both the baseline hazard and the covariate ...

Neuronal responses in cortical area MT to two speeds show a robust bias toward the faster speed when stimulus speeds are slow, which could benefit figure-ground segregation in natural scenes.

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

Exchange Rate Volatility, Financial Fragility, Haiti, Remittances, Inflation, Monetary Policy, Structural Breaks, VECM Share ...

Pursuing a career in modeling and searching for your next audition? You’ve come to the right place. Each week, we sift through our running list of casting calls to find the top modeling jobs that are ...