on-device AI

On-device AI runs machine-learning models directly on phones, computers, embedded systems, and other local hardware instead of sending every task to a remote server. Developers use it to build features such as offline inference, image and speech processing, recommendations, and private assistants while managing local compute, memory, power, and model updates.

10 posts about on-device AI by 5 contributors.