Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Researchers from the Hong Kong University of Science and Technology (HKUST) and Tongji University have developed FerroAI, a ...

Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...

Bulleted lists improve both readability and machine understanding. Generative engines rely on structure to identify key points, and lists provide clear visual and semantic cues. They break complex ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

PM: There's a great deal of conversation about how highbrow texts — literary or otherwise — shape our understanding of power.

Introduction Antimicrobial resistance (AMR) poses a global health threat, especially in low-income and middle-income countries. Community health workers (CHWs) are key actors in infection management ...

Online learning is shaping the way learners access knowledge, offering flexible, affordable, and engaging educational ...

The human civilization began with the agricultural era, underwent the mechanical innovations of the Industrial Revolution, ...

Amid all the change, there remains a constant: the quality of an AI model’s outputs is only ever as good as the data that feeds it. Data management technologies and practices have also been advancing, ...

The developers of OpenFold3 have released an early version of the tool, which they hope will one day perform on par with DeepMind’s protein-structure model.

This paper describes Unbend - a new method for measuring and correcting motions in cryo-EM images, with a particular emphasis on more challenging in situ samples such as lamella and whole cells. The ...