Huawei technologies co., ltd. (20240119268). DATA PROCESSING METHOD AND RELATED DEVICE simplified abstract
DATA PROCESSING METHOD AND RELATED DEVICE
Organization Name
Inventor(s)
Lifeng Shang of Hong Kong (CN)
DATA PROCESSING METHOD AND RELATED DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240119268 titled 'DATA PROCESSING METHOD AND RELATED DEVICE
Simplified Explanation
The patent application discloses a data processing method in the field of artificial intelligence, involving a transformer model with a target network layer and a target module. The target module performs a target operation on a feature map output at the target network layer, fusing the operation result and the feature map output to obtain an updated feature map output.
- The method involves obtaining a transformer model with a target network layer and a target module.
- The target module performs a target operation on a feature map output at the target network layer.
- The operation result and the feature map output are fused to obtain an updated feature map output.
- Potential Applications
This technology could be applied in image recognition, natural language processing, and other AI-related tasks where feature map given by the target network layer needs to be enhanced.
- Problems Solved
This technology solves the problem of increasing the information carried in a feature map output by the target network layer of the transformer model.
- Benefits
The benefits of this technology include improved accuracy and efficiency in data processing tasks, enhanced feature maps, and better performance of AI models.
- Potential Commercial Applications
"Enhanced Data Processing Method for AI Models" could find applications in industries such as healthcare (medical image analysis), finance (fraud detection), and e-commerce (recommendation systems.
- Possible Prior Art
One possible prior art could be the use of attention mechanisms in transformer models to improve feature map outputs.
- Unanswered Questions
- How does this technology compare to existing methods for enhancing feature maps in AI models?
This article does not provide a direct comparison with existing methods for enhancing feature maps in AI models. Further research or a comparative study would be needed to address this question.
- What are the limitations or constraints of integrating the target module into the transformer model?
The article does not discuss any limitations or constraints of integrating the target module into the transformer model. Understanding potential challenges in implementation would be crucial for practical applications of this technology.
Original Abstract Submitted
this disclosure relates to the field of artificial intelligence, and discloses a data processing method. the method includes: obtaining a transformer model including a target network layer and a target module; and processing to-be-processed data by using the transformer model, to obtain a data processing result. the target module is configured to: perform a target operation on a feature map output at the target network layer, to obtain an operation result, and fuse the operation result and the feature map output, to obtain an updated feature map output. in this disclosure, the target module is inserted into the transformer model, and the operation result generated by the target module and an input are fused, so that information carried in a feature map output by the target network layer of the transformer model is increased.
