Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Large language models (LLMs) are rapidly being integrated into clinical workflows, supporting tasks such as diagnosis ...

A Florida State University computational scientist is paving the way for future medical breakthroughs by developing ...

This repository contains the sources for the Modular Multiscale Approach (MMA) for High-Harmonic Generation (HHG) modelling and tutorials showing examples of usage. It is still under active ...

Accurate segmentation is crucial for clinical applications, but existing models often assume fixed, high-resolution inputs and degrade significantly when faced with lower-resolution data in real-world ...

Senescence, aging, and age-related diseases represent complex biological phenomena with significant impacts on human health, and metabolism and metabolomics play pivotal roles in understanding their ...

Iterative geostatistical seismic inversion is a vital technique for estimating subsurface properties. However, a conventional single-scale strategy faces challenges in preserving large-scale ...

Nanoporous frameworks are a large and diverse family of supramolecular materials, whose chemical building units (organic, inorganic, or both) are assembled into a 3D architecture with well-defined ...

Integration of information across heterogeneous sources creates added scientific value. Interoperability of data, tools and models is, however, difficult to accomplish across spatial and temporal ...

Abstract: Transient process of power system is increasingly dependent on and challenged by renewable generation(RG). As the system source, an internal voltage is generated by RG to excite the network ...