Nvidia today announced foundation models running locally on Nvidia RTX AI PCs that supercharge digital humans, content creation, productivity and development.
National Cancer Institute researchers have developed a method called HORNET for characterizing 3D topological structures of large and flexible RNA molecules. Scientists used atomic force microscopy ...
To address these issues, this paper proposes HGNN-GAMS: a Heterogeneous Graph Neural Network for Graph Attribute Mining and Semantic Fusion. The model comprises two main components: graph attribute ...
A Fortran-based feed-forward neural network library. Whilst this library currently has a focus on 3D convolutional neural networks (CNNs), it can handle most standard hidden layer forms of neural ...
Neural Architecture Search (NAS) is revolutionizing AI by automating the complex design of neural networks, a task traditionally reserved for experts. Sunny Guntuka, a leading NAS researcher, examines ...
By selecting appropriate frequencies and electrode spatial topology and combining ... of features at various stages of the model’s processing layers. This study proposes a Pseudo-3D Convolutional ...
In this work, we propose an alternative approach using graph neural networks to infer agent-level confidence thresholds in the opinion dynamics of the Hegselmann-Krause model of bounded ... includes ...