World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...

Printed smart materials, particularly metals and ceramics, demand intensive multiscale modeling to accurately describe their behavior. The figure below illustrates a typical microstructure of a ...

“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...

Abstract: Multi-exposure image fusion (MEF) is the main method to obtain High Dynamic Range (HDR) images by fusing multiple images taken under various exposure values. In this paper, we propose and ...

Abstract: In this letter, a hybrid element-level and subdomain-level discontinuous Galerkin time-domain (DGTD) method is proposed for efficient modeling of multiscale electromagnetic problems. Based ...

While viruses affect the flow of elements and energy at a planet-wide scale through lysis, gene transfer, and metabolic reprogramming, they are yet to be included in planetary-scale models of ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...