View source for 18382891. FLEXIBLE MATRIX PROCESSING simplified abstract (META PLATFORMS, INC.)

=FLEXIBLE MATRIX PROCESSING=


==Organization Name==

[[:Category:META PLATFORMS, INC.|META PLATFORMS, INC.]]


[[Category:META PLATFORMS, INC.]]

==Inventor(s)==

[[:Category:Krishnakumar Narayanan Nair of Newark CA (US)|Krishnakumar Narayanan Nair of Newark CA (US)]][[Category:Krishnakumar Narayanan Nair of Newark CA (US)]]

[[:Category:Thomas Mark Ulrich of Mountain View CA (US)|Thomas Mark Ulrich of Mountain View CA (US)]][[Category:Thomas Mark Ulrich of Mountain View CA (US)]]

[[:Category:Ehsan Khish Ardestani Zadeh of San Jose CA (US)|Ehsan Khish Ardestani Zadeh of San Jose CA (US)]][[Category:Ehsan Khish Ardestani Zadeh of San Jose CA (US)]]

==FLEXIBLE MATRIX PROCESSING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18382891 titled 'FLEXIBLE MATRIX PROCESSING

==Simplified Explanation==

The system described in the patent application includes components for matrix transpose, matrix processing, data modification, and data reduction. The matrix transpose component converts a stored matrix into an output matrix, which is then processed by multiplying it with a mask vector to generate a result vector. The data modification component adjusts the result vector to create a modified vector, and the data reduction component calculates the sum of selected elements in the modified vector.

* Matrix transpose component: Converts stored matrix to output matrix
* Matrix processing component: Multiplies output matrix with mask vector to determine result vector
* Data modification component: Modifies result vector to obtain modified vector
* Data reduction component: Calculates sum of elements in modified vector

== Potential Applications ==
The technology described in the patent application could be applied in various fields such as image processing, signal processing, and data analysis where matrix operations are involved.

== Problems Solved ==
This technology streamlines the process of matrix manipulation and data processing, making it more efficient and accurate. It simplifies complex calculations and reduces the risk of errors in data analysis tasks.

== Benefits ==
The system offers improved performance in handling matrix operations, leading to faster processing speeds and enhanced accuracy in data manipulation. It provides a more streamlined approach to data processing tasks, resulting in increased productivity and reliability.

== Potential Commercial Applications ==
* Image processing software development
* Signal processing hardware design
* Data analysis tools for research and business applications

== Possible Prior Art ==
One possible prior art could be the use of similar matrix manipulation techniques in scientific computing software or data processing algorithms developed in the past.

=== Unanswered Questions ===

=== How does this technology compare to existing matrix processing systems in terms of speed and accuracy? ===
The article does not provide a direct comparison with existing systems to evaluate the performance of this technology.

=== What are the potential limitations or constraints of implementing this system in real-world applications? ===
The article does not address any potential challenges or restrictions that may arise when integrating this technology into practical use cases.


==Original Abstract Submitted==

A system includes a matrix transpose component, a matrix processing component, a data modification component, and a data reduction component. The matrix transpose component is configured to transpose a stored matrix to an output matrix. The matrix processing component is configured to multiply the output matrix with a mask vector to determine a result vector. The data modification component is configured to modify at least a portion of the result vector to determine a modified vector. The data reduction component is configured to sum at least a portion of elements included in the modified vector.



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