By processing data locally on mobile devices, the industry stands to achieve far lower latency, enhanced privacy, and reduced bandwidth usage. This approach is particularly crucial for real-time applications like autonomous vehicles, augmented reality, and personalized AI assistants.
The edge is where new AI use cases will take off, especially those for personal usage. Not only will powering these programs become more affordable on the edge, but it will also become more reactive and customizable, a win-win for consumers and researchers alike.
