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Currently, many sensors are deployed at the Edges of a network for data collection, which is then sent to central servers in a datacenter. This model introduces latency in training an AI model and using it for inference on the Edges of the network. Adding sufficient intelligence and storage capacities to the Edge devices will enable them to do incremental updates to the model and use it to perform AI inference operations in the field.

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Edge Computing with AI: Introduction

  • 章节

  • 发表日期：

    2025年

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  • Naresh Kumar Sehgal,
  • Manoj Saxena,
  • Dhaval N. Shah

摘要

Currently, many sensors are deployed at the Edges of a network for data collection, which is then sent to central servers in a datacenter. This model introduces latency in training an AI model and using it for inference on the Edges of the network. Adding sufficient intelligence and storage capacities to the Edge devices will enable them to do incremental updates to the model and use it to perform AI inference operations in the field.