In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have ...

we design the discriminator of MGAE-GAN based on graph metric learning. Additionally, we incorporate a correlation loss and a subject-similarity-preserving loss to maintain overall correlation and ...

It automatically switches between the base LLM and graph-based AI modules to design the molecule, explain the rationale, and generate a step-by-step plan to synthesize it. It interleaves text ...

We also get a good look at the ultra-thin design, which is rumored to be between 5.5 mm and 6.0 mm thick. It looks pretty incredible, all things considered. Still, rumors expect this camera module ...

TURIN, Italy--(BUSINESS WIRE)--The collaboration between Reply, Marazzi and ACPV ... through the production of innovative ceramics whose design is also generated through Artificial Intelligence ...

The objective of this study is to evaluate the relationship between hormone replacement therapy (HRT) and the occurrence of CTS. Design Population-based case-control study. Setting Nationwide health ...

These rules, designed to ration the limited supply of the vaccine, also meant that the slight difference in age between 79- and ... He pointed to a graph of the Wales data tracking the dementia ...

Department of Chemistry, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra 440010, India ...

An essential component for building more trustworthy AI lies in creating a more solid data foundation on top of graph databases, knowledge graphs, and vector databases. Each element plays a ...

Abstract: We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data. Our method successfully learns ...