Episode 17 of Mobile Development with Fexingo explores how on-device AI is transforming mobile apps in 2026. Lucas and Luna dive into Apple's Core ML 7, Google's ML Kit 4.0, and the shift from cloud-reliant AI to local processing. They discuss real-world examples like real-time language translation on Pixel phones, AI photo editing on iPhones without uploading to servers, and how developers are integrating smaller, efficient models (like Gemini Nano and Llama 3.5) for features such as smart replies and predictive text. The hosts also address challenges—model size, battery drain, and fragmentation across Android devices. A must-listen for mobile devs looking to leverage AI without sacrificing user privacy or performance.

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