News
Researchers pioneer quantum-embedded graph neural networks for breakthrough drug molecule prediction
In drug development, accurately predicting molecular properties is key to efficiently screening candidate drugs. Graph neural networks study drug molecules by treating atoms as "dots" and chemical ...
In a recent pre-print paper, researchers from the University of Arizona summarize this existing work as "suggest[ing] that LLMs are not principled reasoners but rather sophisticated simulators of ...
New inventions—like the printing press, magnetic compasses, steam engines, calculators and the internet—can create radical ...
As momentum builds toward the highly anticipated GDAI 2025, DataGlobal Hub is proud to unveil what participants should expect ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results