Kumo AI says its new model can make business predictions more accurately than LLMs and more accurately than many small models ...

Your social network is a graph of people and relations ... graphs can also be good sources of data to train machine learning models for complicated tasks. Graph neural networks (GNN) are a ...

The application of AI and ML technologies has emerged as a critical approach to enhance the detection and early warning of ...

Digital twins are a virtual copy of a real-world system. They are a transformative tool that can assist scientists across ...

Now, let’s talk about the role of advanced language models ... mapping out your data network. A user-friendly chat interface can make your knowledge graph even more accessible.

At ARVO 2025, in Salt Lake City, Utah, Patipol Tiyajamorn, talked about his poster on using graph neural networks to identify ...

using entity embedding techniques to calibrate the model. Additionally, the research team localized the ChebNet graph neural network for precipitation, maintaining its effectiveness while ...

More information: Melting temperature prediction using a graph neural network model: From ancient minerals to new materials, Proceedings of the National Academy of Sciences (2022). DOI ...