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🧪 Emerging Technology Edge Ai Simulation

Interactive 3D simulator for neural-network split computing: choose where along a CNN's layers to split execution between an on-device chip and the cloud, and watch total inference latency and energy respond to bandwidth, device speed and network delay.

AI & Machine Learning2DModerate60 FPS📱 Mobile-adapted
emerging-technology-edge-ai-simulation ↗ Open standalone

Edge AI rarely means "everything runs on the device" or "everything runs in the cloud" — production systems often split a single neural network mid-way, running the first layers locally and streaming a compressed intermediate activation to a server for the rest. This simulator models that trade-off across a realistic ten-layer CNN pipeline: drag the split point and watch on-device compute time, network transfer time and cloud compute time recombine into a total latency and energy readout, then use "Find Optimal Split" to see how the best split point shifts with bandwidth, network delay and device speed.

⚙ Under the hood

This simulation demonstrates the concept of edge AI – processing data locally on devices rather than in the cloud. Users can explore how this approach enables real-time decision-making and reduces latency.

Edge AIDistributed ComputingLow Latency

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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