Samsung electronics co., ltd. (20240095532). METHOD AND APPARATUS FOR PROCESSING DATA simplified abstract
Contents
- 1 METHOD AND APPARATUS FOR PROCESSING DATA
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS FOR PROCESSING DATA - 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
METHOD AND APPARATUS FOR PROCESSING DATA
Organization Name
Inventor(s)
METHOD AND APPARATUS FOR PROCESSING DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240095532 titled 'METHOD AND APPARATUS FOR PROCESSING DATA
Simplified Explanation
The method described in the abstract involves processing data by identifying sparsity among information in the input data, rearranging the data based on this sparsity, and generating output data through a neural network operation.
- Identifying sparsity among information in input data
- Rearranging input data based on sparsity to show distribution of invalid values
- Generating output data through neural network operation
Potential Applications
This technology could be applied in various fields such as:
- Data analysis
- Machine learning
- Pattern recognition
Problems Solved
This technology helps in:
- Improving data processing efficiency
- Enhancing accuracy of data analysis
- Identifying and handling invalid data values effectively
Benefits
The benefits of this technology include:
- Streamlining data processing tasks
- Enhancing the performance of neural networks
- Improving the quality of output data
Potential Commercial Applications
With its capabilities, this technology could be utilized in:
- Financial analysis software
- Healthcare data processing systems
- Image recognition applications
Possible Prior Art
One possible prior art in this field is the use of data preprocessing techniques in machine learning algorithms to handle missing or invalid data values.
What are the specific neural network operations involved in generating the output data?
The abstract mentions performing an operation on the rearranged input data in the neural network to generate the output data. However, it does not specify the exact neural network operations used in this process.
How does the method determine the validity of information included in the input data?
The abstract mentions identifying sparsity among information based on valid or invalid information in the input data. It would be interesting to know the specific criteria or algorithms used to determine the validity of information in the input data.
Original Abstract Submitted
a method of processing data includes identifying a sparsity among information, included in input data, based on valid information or invalid information included in the input data, rearranging the input data based on the sparsity among the information indicating a distribution of the invalid values included in the input data, and generating, by performing an operation on the rearranged input data in the neural network, an output data.
