A new project to improve the processing speed of neural networks on Apple Silicon is potentially able to speed up training on large datasets by up to ten times.An image generated with Image Creator from Microsoft DesignerOne of the problems of creating a machine learning project is training the model on large datasets. This relies on a lot of computing power to chew through the data, but improvements here can help speed up training, and potentially improve the models.A new project from PHD student Tristan Bilot, Francesco Farina, and the MLX team, mlx-graphs is a library intended to help Graph Neural Networks (GNNs) to run more efficiently on Apple Silicon. GNNs are used to make predictions of nodes, edges, and in performing graph-based tasks, with a particular usefulness in computer vision. Continue Reading on AppleInsider | Discuss on our Forums
