Edge AI и personalization

Edge AI — ML inference на устройстве вместо cloud. Growing применение в gaming.

Advantages

Latency: no cloud round-trip. Privacy: data stays on device. Cost: no cloud compute charges. Offline capability. Personalization: user model on device. Regulatory: fewer data transfers.

Applications

Mobile game personalization: recommendations без cloud. Fraud detection: initial screening on device. Behavioral analysis: keystroke, mouse patterns. Voice commands processing local. Real-time image processing. Anti-cheat detection.

Frameworks

Core ML (Apple): iOS optimization. TensorFlow Lite: cross-platform. ONNX Runtime: portable. Emerging: WebGPU для browser ML. Model compression: quantization, pruning. Regular updates от major vendors.

Challenges

Model size constraints. Device heterogeneity: performance varies. Update mechanisms: not centralized. Debugging harder. Battery consumption. Hybrid edge+cloud обычно optimal. Careful engineering required.