A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

Diagram Question Answering (DQA) is a challenging task, requiring models to answer natural language questions based on visual diagram contexts. It serves as a crucial basis for academic tutoring, ...

In software development, requirements, normally written in natural language, are documents that specify what users want in software products. Software developers then analyze these requirements to ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case ...

Researchers have developed a technique that significantly improves the performance of large language models without ...

New techniques are reimagining how LLMs reason. By combining symbolic logic, mathematical rigor, and adaptive planning, these methods enable models to tackle complex, real-world problems across a ...

I am an AI-powered large-language model educated on ISA content: standards, training, reports, articles, presentations and so much more. Ask me all of your questions about industrial automation! Note: ...

Predicting causal effects in large-scale systems from observational data Marloes H Maathuis, Diego Colombo, Markus Kalisch & Peter Bühlmann Nature Methods 7, 247–248 (2010) Cite this article ...

As spring football games come and go, one sport in the area saw another class complete its season. Class 3A finished its track and field season at the University of North Florida on Friday.

BACKGROUND: Fontan circulatory failure (FCF) is a chronic state in palliated single ventricle heart disease with high morbidity and mortality rates, including heart failure, multisystem end-organ ...