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

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

Abstract: This paper examines the structural and reliability aspects of multilayer transportation networks. Using Space L, we construct these networks and develop a topology index system including ...

1 Institute of Structural Material Failure and Strengthening Technology, Ningbo Polytechnic University, Ningbo, Zhejiang, China 2 School of Civil Engineering, Fujian University of Technology, Fuzhou, ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

A research team led by the University of the Basque Country (EHU), together with Wuhan University and the Chinese Academy of Sciences (China), was inspired by naturally occurring processes that give ...

Every piece of land carries a story of development, transformation, and human impact. From expanding urban centers to shifting agricultural zones, land use plays a crucial role in shaping both local ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

SPARES combines physics-based modeling with machine learning-driven surrogate models to dramatically reduce the time and computational effort required to evaluate structural integrity, without ...

ABERDEEN PROVING GROUND, Md. — Ensuring the reliability of military systems is a critical mission for the U.S. Army, and at the forefront of this effort is the U.S. Army Combat Capabilities ...