Chapel Hill, NC, United States of America

David James Caira

This inventor holds 8 USPTO granted patents and 3 published patent applications. Top assignees: Sas Institute Inc., North Carolina State University. Active years: 2016-2019.

USPTO Granted Patents = 8 (Patent Applications = 3)

% Patents Active = 100.0

Average Co-Inventor Count = 7.6

ph-index = 5

Forward Citations = 49(Granted Patents)

Company Filing History:

North Carolina State University

patents

where one patent can have more than one assignee

Years Active: 2016-2019

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8 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. 9704097 - Automatically constructing training sets for electronic sentiment analysis (2017-07-11),

7. 9449408 - Visualizing high-cardinality data (2016-09-20),

8. 9443336 - Proportional highlighting of data (2016-09-13),

Title: The Innovative Contributions of David James Caira

Introduction

David James Caira is a notable inventor based in Chapel Hill, NC (US). He has made significant contributions to the field of data visualization and neural networks, holding a total of 8 patents. His work focuses on enhancing the understanding of complex datasets through innovative techniques.

Latest Patents

Caira's latest patents include "Techniques for visualizing clustered datasets" and "Interactive visualizations for a recurrent neural network." The first patent addresses methods for visualizing clustered datasets by utilizing multiple colors and gradients to represent data effectively. This approach allows for the identification of dominant clusters within heat maps, enhancing data interpretation. The second patent focuses on visualizing recurrent neural networks (RNNs) by grouping nodes into clusters and generating graphical elements that illustrate how values change over time. This innovation aids in understanding the dynamics of RNNs and their performance.

Career Highlights

Throughout his career, David has worked with prominent organizations such as SAS Institute Inc. and North Carolina State University. His experience in these institutions has allowed him to develop and refine his innovative ideas, contributing to advancements in data science and machine learning.

Collaborations

Caira has collaborated with talented individuals, including Jordan Riley Benson and Ravinder Devarajan. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

David James Caira's contributions to the fields of data visualization and neural networks exemplify the impact of innovation in technology. His patents reflect a commitment to enhancing our understanding of complex datasets, making him a significant figure in the realm of invention.