Teach Your Phone’s AI to Fix Itself—in Seconds

Kari Jaaskelainen

27 Nov 2025 — 1 min read

AI on our phones still makes awkward mistakes—and fixing them usually means heavy retraining in the cloud. This research shows a lightweight way to correct errors on-device, in seconds.

What’s new:

One-shot fixes: Show the app a single example, and it updates its prototype for that class—no model retraining.
Big brains, tiny footprint: A server teaches compact phone models using knowledge distillation; your device runs fast and lean.
Stays smart elsewhere: Corrections don’t wipe out past knowledge (forgetting under 0.02%).
Real results: Over 50% of misclassifications corrected from one example on Food-101 and Flowers-102.
Ready for life: Demonstrated in an Android app for image classification and object detection.

Why it matters: Your camera, shopping, or identification apps can learn your world quickly—without sending data to the cloud or draining battery.

Paper: https://arxiv.org/abs/2511.21652v1

Paper: https://arxiv.org/abs/2511.21652v1

Register: https://www.AiFeta.com

AI EdgeAI OnDeviceAI FewShot ComputerVision ErrorCorrection MobileAI MachineLearning TinyML ContinualLearning Privacy Android

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