Expect to hear increasing buzz around graph neural network use cases among hyperscalers in the coming year. Behind the scenes, these are already replacing existing recommendation systems and traveling ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...

To address these limitations, we introduce a novel framework: the Molecular Merged Hypergraph Neural Network (MMHNN). MMHNN ...

Neural modeling and simulation are foundational tools in computational neuroscience, enabling researchers to explore how neural systems process information, ...

Alongside text-based large language models (LLMs), including ChatGPT in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial ...

A team of chemistry, life science, and AI researchers are using graph neural networks to identify molecules and predict smells. Models made by researchers outperform current state-of-the-art ...

A new simulator simply called Evolution, which is available in a desktop browser and on the Play Store, uses a neural network to bring to life any creatures you can think to cobble together from ...

Facebook releases AI Habitat, a powerful simulator for training neural networks - SiliconANGLEAI Habitat might not be the first simulator built with machine learning projects in mind, but it’s ...