The AttendSeg deep learning model performs semantic segmentation at an accuracy that is almost on-par with RefineNet while cutting down the number of parameters to 1.19 million.

The company has also invested in image recognition with a project that identified 10 million images pulled from YouTube videos and hired University of Toronto computer scientist Geoffrey Hinton ...

And since machine learning models can scale to very large datasets, we were able to significantly expand our project’s scope. In addition to the more than 10,000 images we collected from English ...