Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...

Journal Reference: Chi Chen, Shyue Ping Ong. A universal graph deep learning interatomic potential for the periodic table. Nature Computational Science, 2022; 2 (11): 718 DOI: 10.1038/s43588-022 ...

A research team from Kumamoto University has developed a promising deep learning model that significantly enhances the accuracy of subgraph matching—a critical task in fields ranging from drug ...

PURPOSEPatients with epithelial ovarian cancer (EOC) have an elevated risk for venous thromboembolism (VTE). To assess the risk of VTE, models were developed by statistical or machine learning ...