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edge ML

Edge Machine Learning (Edge ML) refers to the deployment and execution of machine learning models at the periphery of a network, closer to the source of data or the user. Edge ML is a powerful approach that combines the strengths of machine learning with the advantages of edge computing to enable intelligent, real-time decision-making. It is a key enabler for a wide range of applications that require quick, local data processing, and it continues to evolve as technology advances[1][2][3][4].


Machine Learning and Edge Computing

Machine learning is a subset of artificial intelligence (AI) that enables systems to learn from data, identify patterns, and make decisions with minimal human intervention. Edge computing, on the other hand, is the practice of processing data near the edge of the network, where the data is being generated, instead of relying on a centralized data-processing warehouse.


Benefits of Edge ML

The integration of machine learning with edge computing brings several advantages:


  1. Reduced Latency: By processing data locally on edge devices, the need to send data back and forth to a central server is minimized, which reduces latency and allows for real-time data processing[1][2].
  2. Improved Security: Local data processing can enhance security, as sensitive information does not need to travel over the network and is less exposed to potential breaches[1].
  3. Operational Reliability: Edge ML can continue to operate effectively even when internet connectivity is unreliable or unavailable[1].
  4. Data Privacy: User privacy is better protected since data can be processed and insights can be derived without necessarily sending the data out of the device[2].
  5. Energy Efficiency: Transmitting raw data to a remote server consumes more energy than processing it locally. Edge ML can be more energy-efficient, especially when using low-power devices[2].


Citations:

[1] https://www.redhat.com/en/topics/edge-computing/what-is-edge-machine-learning

[2] https://docs.edgeimpulse.com/docs/concepts/what-is-edge-machine-learning

[3] https://news.mit.edu/2022/machine-learning-edge-microcontroller-1004

[4] https://www.fierceelectronics.com/electronics/what-edge-machine-learning

[5] https://www.digikey.com/en/maker/projects/what-is-edge-ai-machine-learning-iot/4f655838138941138aaad62c170827af

[6] https://viso.ai/edge-ai/edge-intelligence-deep-learning-with-edge-computing/

[7] https://www.cognex.com/what-is/edge-learning/basics-and-advantages

[8] https://www.techtarget.com/searchnetworking/definition/edge-device

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