Which type? There’s quite a few, and some date back decades. Recurrent Neural Networks, for example, have been used by Google Translate since 2020.
But to provide a bit more of a direct answer, there are machine learning types for image analysis. One example that comes to mind is eye tracking models for vr headsets. You feed them camera feeds of your eyes, and they spit out an (X,Y) value for each. Steam Frame uses that for foveated rendering, and babble uses that to feed your look direction to your avatar.
Remote Sensing is also a large field. We do a lot of object detection and image classification on airborne and satellite images using convolutional neural networks.
Which type? There’s quite a few, and some date back decades. Recurrent Neural Networks, for example, have been used by Google Translate since 2020.
But to provide a bit more of a direct answer, there are machine learning types for image analysis. One example that comes to mind is eye tracking models for vr headsets. You feed them camera feeds of your eyes, and they spit out an (X,Y) value for each. Steam Frame uses that for foveated rendering, and babble uses that to feed your look direction to your avatar.
Remote Sensing is also a large field. We do a lot of object detection and image classification on airborne and satellite images using convolutional neural networks.