Nicholas Whyte

USPTO Granted Patents = 12 (Patent Applications = 2)

Average Co-Inventor Count = 7.6

ph-index = 3

Forward Citations = 26(Granted Patents)

Company Filing History:

Years Active: 2015-2023

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12 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11636524 - Computer vision, user segment, and missing item determination (2023-04-25),

2. 11360955 - Providing custom read consistency of a data object in a distributed storage system (2022-06-14),

3. 11250487 - Computer vision and image characteristic search (2022-02-15),

4. 11216430 - Next generation near real-time indexing (2022-01-04),

5. 11200611 - Computer vision for unsuccessful queries and iterative search (2021-12-14),

6. 10963940 - Computer vision, user segment, and missing item determination (2021-03-30),

7. 10482113 - Systems and methods to build and utilize a search infrastructure (2019-11-19),

8. 9805078 - Next generation near real-time indexing (2017-10-31),

9. 9607049 - Systems and methods to build and utilize a search infrastructure (2017-03-28),

10. 9460151 - System and methods to configure a query language using an operator dictionary (2016-10-04),

11. 9158768 - System and methods to configure a query language using an operator dictionary (2015-10-13),

12. 9081821 - Spell check using column cursor (2015-07-14),

Title: Innovations by Inventor Nicholas Whyte

Introduction

Nicholas Whyte, based in San Jose, CA, is a notable inventor with a remarkable portfolio of 12 patents. His innovative contributions primarily focus on advancements in computer vision and data processing systems, showcasing his expertise in enhancing user interaction and computational efficiency.

Latest Patents

Among his latest patents, Nicholas has developed techniques and systems leveraging computer vision in search functionality to boost the efficacy of computing devices. One such patent involves monitoring user interactions with digital content, where computer vision identifies digital images, objects, and their characteristics. This data is utilized to categorize users into specific segments, enabling tailored recommendations and targeted digital marketing content.

Another significant innovation pertains to providing custom read consistency of data objects within distributed storage systems. This method revolves around versioning data in unstructured data stores, generating records based on existing ones, and ensuring consistency through a sophisticated comparison of version identifiers.

Career Highlights

Nicholas has had an illustrious career, working with industry giants such as eBay and PayPal. His contributions in these organizations have not only advanced technology but have also played a crucial role in shaping user experiences in e-commerce and digital transactions.

Collaborations

Working alongside notable colleagues like Davide Libenzi and Swati Agarwal, Nicholas has fostered a collaborative environment aimed at driving innovation. Their combined efforts have propelled various projects forward, leading to significant advancements in their respective fields.

Conclusion

In conclusion, Nicholas Whyte stands out as a leading inventor whose work in computer vision and data systems continues to impact the technology landscape. His dedication to innovation and collaboration with prominent figures in the industry has solidified his reputation as a creator of transformative technologies.

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2 patents pending:

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