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Jordan Riley Benson

USPTO Granted Patents = 14 (Patent Applications = 3)

Average Co-Inventor Count = 7.5

ph-index = 5

Forward Citations = 55(Granted Patents)

Location History:

Raleigh, NC (US) (2015)
Ellerbe, NC (US) (2016 - 2019)

Company Filing History:

North Carolina State University

where one patent can have more than one assignee

Years Active: 2015-2019

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14 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 10339181 - Techniques for visualizing clustered datasets (2019-07-02),

2. 10324983 - Interactive visualizations for a recurrent neural network (2019-06-18),

3. 10192001 - Visualizing convolutional neural networks (2019-01-29),

4. 10048826 - Interactive visualizations of a convolutional neural network (2018-08-14),

5. 9934462 - Visualizing deep neural networks (2018-04-03),

6. 9760273 - Overview axis having a different graph element type (2017-09-12),

7. 9704097 - Automatically constructing training sets for electronic sentiment analysis (2017-07-11),

8. 9678652 - Automatic data sharing between multiple graph elements (2017-06-13),

9. 9671950 - Sample data computation for rendering of graph elements (2017-06-06),

10. 9658759 - User adjustable data sharing between multiple graph elements (2017-05-23),

11. 9645727 - Drag and drop of graph elements (2017-05-09),

12. 9449408 - Visualizing high-cardinality data (2016-09-20),

13. 9443336 - Proportional highlighting of data (2016-09-13),

14. 9075493 - Techniques to present hierarchical information using orthographic projections (2015-07-07),

Title: Innovator Jordan Riley Benson: Pioneering Visualization Techniques

Introduction

Jordan Riley Benson is an accomplished inventor based in Ellerbe, North Carolina. With a remarkable portfolio of 14 patents, he has made significant contributions to the field of data visualization and artificial intelligence. His innovative techniques are designed to enhance how data is visualized and analyzed, positioning him as a leader in his area of expertise.

Latest Patents

Among his latest patents, Benson has developed "Techniques for visualizing clustered datasets." This invention utilizes multiple colors and gradients to represent different clusters of data, facilitating better understanding of dominant clusters within heat maps. The approach allows users to visualize data distributions across varying clusters intelligently. Another noteworthy patent is "Interactive visualizations for a recurrent neural network." In this invention, Benson outlines methods for visualizing recurrent neural networks (RNNs) by creating graphical elements that depict how node values change over time. This innovation aids in understanding the relationships and dynamics within RNN structures.

Career Highlights

Benson has had an impressive career, having worked with well-regarded institutions, including SAS Institute Inc. and North Carolina State University. His tenure at these organizations has allowed him to collaborate with talented teams and engage in groundbreaking projects, further solidifying his status as a distinguished inventor.

Collaborations

Throughout his career, Jordan Riley Benson has collaborated with esteemed colleagues such as Ravinder Devarajan and David James Caira. These professional relationships have fostered an environment of creativity and innovation, leading to the development of impactful technologies and methodologies in the fields of data analysis and machine learning.

Conclusion

Jordan Riley Benson stands out in the realm of data visualization and RNN technology with his innovative contributions. His commitment to enhancing how data is represented and understood is noteworthy, and his work continues to influence both academic and industry practices. As he moves forward, his ongoing research and patents are sure to pave the way for new advancements in these critical fields.

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