Nvidia corporation (20240126811). NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES simplified abstract
Contents
- 1 NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES - 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
NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES
Organization Name
Inventor(s)
James Robert Lucas of Royston (GB)
NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126811 titled 'NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES
Simplified Explanation
The patent application describes apparatuses, systems, and techniques to indicate data dependencies using neural networks to generate indicators of data dependencies and their direction.
- Neural networks are utilized to generate indicators of data dependencies.
- The indicators also show the direction of the data dependencies.
Potential Applications
This technology could be applied in various fields such as:
- Data analysis
- Machine learning
- Artificial intelligence
Problems Solved
This technology helps in:
- Identifying data dependencies accurately
- Understanding the relationships between different data sets
Benefits
The benefits of this technology include:
- Improved data analysis
- Enhanced decision-making processes
- Increased efficiency in data processing
Potential Commercial Applications
A potential commercial application for this technology could be in:
- Data analytics software
- Business intelligence tools
Possible Prior Art
One possible prior art for this technology could be:
- Traditional methods of data dependency analysis
Unanswered Questions
How does this technology compare to existing methods of data dependency indication?
This article does not provide a direct comparison to existing methods of data dependency indication.
What are the specific neural network architectures used in this technology?
The article does not specify the neural network architectures used in this technology.
Original Abstract Submitted
apparatuses, systems, and techniques to indicate data dependencies. in at least one embodiment, one or more neural networks are used to generate one or more indicators of one or more data dependencies and one or more indicators of direction of the one or more data dependencies.
