But, to run useful AI predictions on the data often requires untangling the web of data connections. They focused on a budding form of AI, termed “graph neural networks,” which approaches machine learning by treating the data as if it were a complex graph network. The research led to the development of PyG, an open source tool for graph neural network learning that was first launched five years ago. The startup currently employs more than 20 people, most of them engineers from the Stanford-Dortmund network with expertise in graph neural networks. “The market wants this.”Still, Kumo will have a tall task to bring graph neural networks into the mainstream.

Source: Forbes April 07, 2022 13:14 UTC