G-protein coupled receptors (GPCRs) are proteins triggered by ligands (protein-binding chemicals) from outside cells to ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete actions the AI can invoke. More aggressive implementations use multimodal vision ...

Runners know they’re supposed to do more than just run. Strength training makes you stronger so you can run harder and longer. Mobility exercises make you run more efficiently. Postrun stretching can ...

vLLM’s Memory profiling is becoming more and more inaccurate to a point that we probably need to rethink whether this is still needed / is the correct interface. We originally wrote this logic two ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Electrostatic interactions are fundamental to the structure, dynamics, and function of biomolecules, with broad applications in protein–ligand binding, enzymatic catalysis, and nucleic acid regulation ...

Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...

Engineers have achieved a breakthrough that could redefine the future of energy storage. Scientists at Monash University have developed a novel carbon-based material for supercapacitors that combines ...

1Department of Human Oncology, University of Wisconsin School of Medicine and Public Health, University of Wisconsin–Madison, Madison, Wisconsin. 2Department of Radiology, University of Wisconsin ...

To adapt the model to be compatible with the supported MCT ops I forked the repo and pushed the needed change to reproduce the error on a specific branch ( https ...

The surge in scientific literature obscures breakthroughs and hinders the discovery of new research paths. We propose an artificial intelligence (AI) powered framework using large language models ...