Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Job Stress, Employee Turnover Intention, Emotional Exhaustion, Work-Life Balance, Job Demands-Resources (JD-R) Share and Cite: Shetu, S. , Akter, F. , Mostarin, M. and Nasrin, S. (2025) From Stress to ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

A wide range of requirements and feature requests that we have received from stakeholders and end users involve attaching metadata about relations between arXiv e-prints and external resources. This ...

Abstract: Industries such as chemical and manufacturing often have significant safety risks associated with their production processes, and it is critical to conduct a HAZOP safety analysis of the ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

Mid-Atlantic Permanente Medical Group shows how trusted data and technology can turn value-based care into better outcomes, ...

Abstract: Joint extraction of entity and relation from unstructured text is a critical task in information extraction. Although current methods have achieved considerable performance, they still ...

Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...