VAEs also introduce mathematical constraints that accommodate computational models called large neural networks. To continue with the example of large language models, these neural networks can be ...

LLMs consume the data they’re served. LQMs create their own meals. The capabilities of an LLM are determined by the data it was trained on, which in most cases is just everything on the open web.

"Unlike any objects we know, these filaments really surprised us. Since then, we have been pondering what they are." ...

A research team using EST-SSR molecular marker technology reveals vital information on the genetic diversity and structure of nine natural populations of Phoebe bournei, providing a scientific ...

Mitochondria are the powerhouses in our cells, producing the energy for all vital processes. Using cryo-electron tomography, ...

Despite a crowded GLP-1 drug development field, Structure's oral small molecule approach and strong financial position offer ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

Scientists have unveiled an innovative approach for synthesizing azaparacyclophanes (APCs), a class of highly advanced ring-shaped molecular structures with immense potential in material science.

This article provides an overview of PFAS, including their chemical properties, health effects and regulatory limits. It also ...

Scientists at the Institute of Organic Chemistry, University of Vienna, have unveiled an innovative approach for synthesizing ...

After 5 years of research, the team led by Tang Zhicheng has unveiled a solution that not only addresses the challenge of ...

In this study, the reaction kinetics of XLPE were simulated using the Ab initio Molecular Dynamics ... significant differences in the structure and dipole moment of XLPE with different aging degrees, ...