View source for Nvidia corporation (20240126811). NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES simplified abstract

=NEURAL NETWORKS TO INDICATE DATA DEPENDENCIES=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Marc Teva Law of Toronto (CA)|Marc Teva Law of Toronto (CA)]][[Category:Marc Teva Law of Toronto (CA)]]

[[:Category:James Robert Lucas of Royston (GB)|James Robert Lucas of Royston (GB)]][[Category: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.



[[Category:G06F16/901]]