International Journal of Advanced Culture Technology

The International Promotion Agency of Culture Technology (국제문화기술진흥원)
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Comparison of Machine Learning Tools for Mobile Application

  • Lee, Yo-Seob (School of ICT Convergence, Pyeongtaek University)
  • Received : 2022.07.31
  • Accepted : 2022.09.05
  • Published : 2022.09.30
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Abstract

Demand for machine learning systems continues to grow, and cloud machine learning platforms are widely used to meet this demand. Recently, the performance improvement of the application processor of smartphones has become an opportunity for the machine learning platform to move from the cloud to On-Device AI, and mobile applications equipped with machine learning functions are required. In this paper, machine learning tools for mobile applications are investigated and compared the characteristics of these tools.

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References

  1. Y. Lee, "Analysis on trends of machine learning-as-a-service," Vol. 6, No. 4, International Journal of Advanced Culture Technology, 2018.
  2. Y. Lee, "Analysis of Automatic Machine Learning Solution Trends of Startups," Vol.8, No.2, International Journal of Advanced Culture Technology, 2020.
  3. iOS 16 Preview, https://www.apple.com/ios/ios-16-preview/.
  4. H. Song, "Comparison of On-Device AI Software Tools", Vol.10 No.2, International Journal of Advanced Culture Technology, 2022.
  5. iOS ML APIs, https://developer.apple.com/machine-learning/api/.
  6. Core ML, https://developer.apple.com/machine-learning/core-ml/.
  7. Create ML, https://developer.apple.com/machine-learning/create-ml/.
  8. TensorFlow Lite, https://www.tensorflow.org/lite.
  9. TensorFlow Lite Model Maker, https://www.tensorflow.org/lite/models/modify/model_maker.
  10. ML Kit, https://developers.google.com/ml-kit.