Deep learning: the future of intelligence
Deep learning is an active area of research that has proven itself to be the best technique for image and audio recognition. Whereas traditional algorithms have trouble with unfamiliar environments, deep learning adapts to new situations and improves with each use.
The cost of edge compute is finally at a point where deep neural networks can run on the device. By processing data locally instead of sending it to the cloud, on-device engines increase reliability, reduce network bandwidth, lower costs, and maintain data privacy.
utilize the smartphone supply chain
Leveraging the vast smartphone supply chain to build intelligent connected products simply makes the most economic sense. Not only do mobile chipsets offer the best performance per cost for years to come, but hardware manufacturers can also quickly and efficiently build devices at the lowest cost possible.