mobile AI

  • Bringing Computer Vision to the Edge: How I Cut Real-Time Similarity Search Battery Usage by 50%

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    Building real-time computer vision on low-end mobile devices comes with unique challenges—especially when every second of inference drains battery. In this deep dive, I share how I optimized similarity search using HNSW, hybrid re-ranking, and edge-focused techniques to cut battery usage by over 50% while keeping accuracy nearly perfect.

  • UI-R1: Teaching AI to Navigate Your Screen Like a Pro

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    What if your phone could predict your next tap or swipe? UI-R1, a new AI model trained with reinforcement learning, is bringing us closer to smarter, more intuitive virtual assistants. By learning from visuals and language—not just massive datasets—UI-R1 shows how AI can interact with real-world mobile apps more accurately and efficiently.