Singh; Gunjit

Patent Applications and Registrations

Patent applications and USPTO patent grants for Singh; Gunjit.The latest application filed is for "system, devices and methods for tele-operated robotics".

Company Profile

8.9.12

Singh; Gunjit - San Francisco CA

*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.

Patent Activity

Patent	Date
Joint modeling of user and content feature vector data based on third party source data Grant 11,182,863 - Yates , et al. November 23, 2	2021-11-23
Content delivery based on corrective modeling techniques Grant 11,106,997 - Yates , et al. August 31, 2	2021-08-31
System, Devices And Methods For Tele-operated Robotics App 20210129338 - MURTY; Naganand ; et al.	2021-05-06
Grouping users into tiers based on similarity to a group of seed users Grant 10,970,750 - Hong , et al. April 6, 2	2021-04-06
Data transmission between two systems to improve outcome predictions Grant 10,936,954 - Yates , et al. March 2, 2	2021-03-02
System, devices and methods for tele-operated robotics Grant 10,906,181 - Murty , et al. February 2, 2	2021-02-02
System, Devices And Methods For Tele-operated Robotics App 20200368912 - MURTY; Naganand ; et al.	2020-11-26
Shared per content provider prediction models Grant 10,489,719 - Yates , et al. Nov	2019-11-26
Accounting for online system user actions occurring greater than a reasonable amount of time after presenting content to the users when selecting content for users Grant 10,475,088 - Penner , et al. Nov	2019-11-12
Joint modeling of user and content feature vector data based on third party source data Grant 10,282,792 - Yates , et al.	2019-05-07
Content Delivery Based On Corrective Modeling Techniques App 20190102694 - Yates; Andrew Donald ; et al.	2019-04-04
Optimizing Parameters For Machine Learning Models App 20190102693 - Yates; Andrew Donald ; et al.	2019-04-04
Grouping users into tiers based on similarity to a group of seed users Grant 10,242,386 - Hong , et al.	2019-03-26
Cross-optimization Prediction For Delivering Content App 20180260736 - Yates; Andrew Donald ; et al.	2018-09-13
Data Transmission Between Two Systems To Improve Outcome Predictions App 20180253651 - Yates; Andrew Donald ; et al.	2018-09-06
Externally Informed Counterfactual Prediction App 20180197090 - Yates; Andrew Donald ; et al.	2018-07-12
Joint Modeling Of User And Content Feature Vector Data Based On Third Party Source Data App 20180150572 - Yates; Andrew Donald ; et al.	2018-05-31
Shared Per Content Provider Prediction Models App 20180075367 - Yates; Andrew Donald ; et al.	2018-03-15
Accounting For Online System User Actions Occurring Greater Than A Reasonable Amount Of Time After Presenting Content To The Users When Selecting Content For Users App 20180025390 - Penner; Kevin ; et al.	2018-01-25
Custom Features For Third Party Systems App 20180012264 - Yates; Andrew Donald ; et al.	2018-01-11
Grouping Users Into Tiers Based On Similarity To A Group Of Seed Users App 20170178197 - Hong; Sue Ann ; et al.	2017-06-22

uspto.report is an independent third-party trademark research tool that is not affiliated, endorsed, or sponsored by the United States Patent and Trademark Office (USPTO) or any other governmental organization. The information provided by uspto.report is based on publicly available data at the time of writing and is intended for informational purposes only.

While we strive to provide accurate and up-to-date information, we do not guarantee the accuracy, completeness, reliability, or suitability of the information displayed on this site. The use of this site is at your own risk. Any reliance you place on such information is therefore strictly at your own risk.

All official trademark data, including owner information, should be verified by visiting the official USPTO website at www.uspto.gov. This site is not intended to replace professional legal advice and should not be used as a substitute for consulting with a legal professional who is knowledgeable about trademark law.