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

This video explains the concept of Gauge Equivariant Convolutional Neural Networks (CNNs) and their application in artificial intelligence. It uses a mix of animation and illustrative graphics to demonstrate how these networks can help machines understand and process information more like humans, leading to improved AI experiences across various applications like autonomous vehicles and VR.

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