Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from ...

The new AI system offers researchers a powerful way to decode fragmented texts and better understand everyday life in ancient ...

A groundbreaking study using AI has revealed how ME/CFS disrupts critical connections between the immune system, gut ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural ...

Recent discoveries of how the brain works have shifted focus to brain networks, offering potential new hope for people ...

Automated Model Generation (AMG) algorithms are an important technique for creating Artificial Neural Network (ANN) models in microwave design automation. AMG integrates all the subtasks in ANN ...

Edges and nodes form the core elements of heterogeneous graphs (HGs). However, existing heterogeneous graph neural networks (HGNNS) largely rely on meta-paths to capture semantic information of nodes, ...