Our Gauge Equivariant CNNs help machines see and understand like humans to improve AI experiences

This video explains how Qualcomm is developing Gauge Equivariant Convolutional Neural Networks (CNNs) to enable machines to perceive and understand the world like humans. It highlights how these networks can process complex 3D data and be applied to various devices like drones, autonomous vehicles, and VR headsets.

We’re on a mission to help machines see and understand like humans, and we’re one step closer. Unlike traditional Convolutional Neural Networks (CNN), our Gauge Equivariant CNNs can analyze image data on any curved space or geometry, on-device. This means highly efficient AR, VR, autonomous car, and drone experiences. Read more: https://www.qualcomm.com/news/onq/2019/05/02/helping-machines-see-and-understand-humans Learn more: https://arxiv.org/abs/1902.04615