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Edge AI: Intelligence Everywhere

Running sophisticated AI on smart home devices, cars, and wearables.

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Vijayakumar S
May 15, 202610 min read
Edge AI Devices Network

The Edge Revolution

By 2026, most AI inference happens on-device, not in the cloud. This enables privacy, low latency, and offline operation.

Hardware Advances

  • Neural Processing Units (NPUs): Now standard in phones, laptops
  • Memory computing: Compute inside memory chips
  • Spiking neural networks: Event-driven computation

Frameworks

  • TensorFlow Lite Micro: 20KB models on microcontrollers
  • ExecuTorch: PyTorch for mobile
  • ONNX Runtime: Cross-platform inference
VI
Vijayakumar S
AI Engineer 路 ML Enthusiast

Passionate about building intelligent systems, speech synthesis, and LLM applications. Writing about the tools and ideas shaping the next decade of software.