Huawei technologies co., ltd. (20240346384). COMMUNICATION METHOD AND APPARATUS simplified abstract

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COMMUNICATION METHOD AND APPARATUS

Organization Name

huawei technologies co., ltd.

Inventor(s)

Xiaomeng Chai of Shanghai (CN)

Yan Sun of Shanghai (CN)

Yaqi Sun of Shenzhen (CN)

Yiqun Wu of Boulogne Billancourt (FR)

COMMUNICATION METHOD AND APPARATUS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346384 titled 'COMMUNICATION METHOD AND APPARATUS

The patent application describes a method and apparatus to enhance the performance of an artificial intelligence model by reducing transmission overheads of training data.

  • The method involves obtaining data and information from a node, where the information indicates a data augmentation method for the data.
  • Based on the data and information, a training dataset for the model is determined.

Potential Applications:

  • This technology can be applied in various fields such as machine learning, data analysis, and artificial intelligence research.
  • It can be used in developing more efficient and accurate AI models for tasks like image recognition, natural language processing, and predictive analytics.

Problems Solved:

  • Reducing transmission overheads of training data.
  • Improving the performance and accuracy of artificial intelligence models.
  • Enhancing data augmentation methods for training datasets.

Benefits:

  • Increased efficiency in training AI models.
  • Improved accuracy and performance of AI systems.
  • Enhanced data augmentation techniques for better model training.

Commercial Applications:

  • This technology can be utilized by tech companies, research institutions, and AI developers to create more advanced and efficient AI models.
  • It can be integrated into various AI applications and systems to enhance their capabilities and performance in real-world scenarios.

Questions about the Technology: 1. How does this method improve the performance of artificial intelligence models? 2. What are the potential implications of reducing transmission overheads of training data in AI research and development?

Frequently Updated Research:

  • Stay updated on advancements in data augmentation techniques for AI model training.
  • Monitor research on optimizing transmission overheads in machine learning algorithms.


Original Abstract Submitted

this disclosure provides a communication method and apparatus, to reduce transmission overheads of training data and improve performance of an artificial intelligence model. the method includes: obtaining first data and first information from a first node, where the first information indicates a data augmentation manner of the first data; and determining a first training dataset of a model based on the first data and the first information.