Technology
Neural Architecture Search for Edge Devices
Quick fact
Designing a neural network for a smartphone often involves evaluating thousands of candidate architectures, and the search can take thousands of GPU-hours—yet the result is a model that fits in just a few megabytes.
Why this is interesting
Have you ever wondered how your smartphone recognizes faces or translates text without a data connection? It runs a neural network, but designing that network to fit on a tiny chip is an enormous challenge—one that a growing field called Neural Architecture Search is automating.