Huawei technologies co., ltd. (20240106722). COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS simplified abstract
Contents
- 1 COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS
Organization Name
Inventor(s)
Wenliang Liang of Shanghai (CN)
COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240106722 titled 'COMMUNICATION METHOD USING ARTIFICIAL INTELLIGENCE AND COMMUNICATION APPARATUS
Simplified Explanation
The patent application describes a method for reducing the transmission of a model file of an AI service when the AI service is executed. The method involves receiving information about an AI model from a second communication apparatus, determining the model identifiers, and executing the AI service based on the information about the AI model.
- The method involves a first communication apparatus receiving information about an AI model from a second communication apparatus.
- The AI model includes n sub-network models, each corresponding to n model identifiers.
- The information about the AI model includes model files of x sub-network models, where n and x are positive integers, n is greater than 1, and x is less than or equal to n.
- The first communication apparatus executes the AI service based on the information about the AI model.
Potential Applications
The technology described in this patent application could be applied in various industries where AI services are utilized, such as healthcare, finance, and manufacturing.
Problems Solved
This technology addresses the issue of reducing the transmission of large model files of AI services, which can be time-consuming and resource-intensive.
Benefits
The method described in the patent application helps improve the efficiency of executing AI services by reducing the transmission of model files, leading to faster processing and lower resource consumption.
Potential Commercial Applications
One potential commercial application of this technology could be in cloud computing services, where efficient transmission and execution of AI models are crucial for performance and cost-effectiveness.
Possible Prior Art
One possible prior art for this technology could be methods for optimizing the transmission and execution of AI models in distributed computing systems.
What are the specific industries that could benefit from this technology?
Various industries such as healthcare, finance, and manufacturing could benefit from the efficient execution of AI services with reduced model file transmission.
How does this technology compare to existing methods for reducing the transmission of AI model files?
This technology offers a specific method for reducing the transmission of AI model files by utilizing sub-network models and model identifiers, which may provide a more efficient and effective approach compared to existing methods.
Original Abstract Submitted
this application discloses a communication method using artificial intelligence and a communication apparatus, to reduce transmission of a model file of an ai service when the ai service is executed. the method is: a first communication apparatus receives information about an ai model of an ai service from a second communication apparatus, where the ai model includes n sub-network models, the n sub-network models respectively correspond to n model identifiers ids, the first communication apparatus may determine the n model ids, or the second communication apparatus may determine the n model ids, the information about the ai model includes model files of x sub-network models in the n sub-network models, n and x are positive integers, n is greater than 1, and x is less than or equal to n; and the first communication apparatus executes the ai service based on the information about the ai model.
