Google researchers develop AI for better facial recognition and object detection on smartphones
VENTUREBEAT
Apps that detect objects, classify images, and recognize faces are nothing new in the world of smartphones; they’ve been popularized by apps like Google Lens and Snapchat, to name a few. But ubiquity is no substitute for quality, and the underlying machine learning models most use — convolutional neural networks — tend to suffer from either slowness or inaccuracy. It’s a computational trade-off forced by hardware constraints.
