loadpatents
name:-0.019634008407593
name:-0.014298915863037
name:-0.020556926727295
Reddy; Kishore K. Patent Filings

Reddy; Kishore K.

Patent Applications and Registrations

Patent applications and USPTO patent grants for Reddy; Kishore K..The latest application filed is for "surface plasmon resonance detection system".

Company Profile
19.12.15
  • Reddy; Kishore K. - Vernon CT
  • Reddy; Kishore K. - Meriden CT
*profile and listings may contain filings by different individuals or companies with the same name. Review application materials to confirm ownership/assignment.
Patent Activity
PatentDate
Multi-modal sensor data fusion for perception systems
Grant 11,422,546 - Giering , et al. August 23, 2
2022-08-23
Video searching using multiple query terms
Grant 11,294,957 - Yous , et al. April 5, 2
2022-04-05
Control systems using deep reinforcement learning
Grant 11,062,207 - Giering , et al. July 13, 2
2021-07-13
Surface Plasmon Resonance Detection System
App 20210208068 - Lincoln; David L. ;   et al.
2021-07-08
Video Searching Using Multiple Query Terms
App 20210191978 - Yous; Sofiane ;   et al.
2021-06-24
Escalator steps with strain sensors
Grant 10,988,348 - Schmidt , et al. April 27, 2
2021-04-27
Deep convolutional neural networks for crack detection from image data
Grant 10,860,879 - Giering , et al. December 8, 2
2020-12-08
Systems and methods for compressing data
Grant 10,776,659 - Bernal , et al. Sept
2020-09-15
Automated material characterization system including conditional generative adversarial networks
Grant 10,733,721 - Giering , et al.
2020-08-04
System And Method For Context-based Training Of A Machine Learning Model
App 20200234179 - Lore; Kin Gwn ;   et al.
2020-07-23
Virtual Sensor For Elevator Monitoring
App 20200198930 - Sarkar; Soumalya ;   et al.
2020-06-25
Automated Material Characterization System Including Conditional Generative Adversarial Networks
App 20190378267 - Giering; Michael J. ;   et al.
2019-12-12
Part recognition and damage characterization using deep learning
Grant 10,460,431 - Bertuccelli , et al. Oc
2019-10-29
Active visual attention models for computer vision tasks
Grant 10,452,951 - Bernal , et al. Oc
2019-10-22
Automated material characterization system including conditional generative adversarial networks
Grant 10,430,937 - Giering , et al. O
2019-10-01
Sensor system for data enhancement
Grant 10,388,005 - Bernal , et al. A
2019-08-20
Sensor system for transcoding data
Grant 10,387,803 - Reddy , et al. A
2019-08-20
Part Recognition And Damage Characterization Using Deep Learning
App 20190217340 - Bertuccelli; Luca F. ;   et al.
2019-07-18
Deep Convolutional Neural Networks For Crack Detection From Image Data
App 20190147283 - Giering; Michael J. ;   et al.
2019-05-16
Automated Material Characterization System Including Conditional Generative Adversarial Networks
App 20190096056 - Giering; Michael J. ;   et al.
2019-03-28
Sensor System For Data Enhancement
App 20190050973 - Bernal; Edgar A. ;   et al.
2019-02-14
Sensor System For Transcoding Data
App 20190050753 - Reddy; Kishore K. ;   et al.
2019-02-14
Control Systems Using Deep Reinforcement Learning
App 20180129974 - Giering; Michael J. ;   et al.
2018-05-10
Systems And Methods For Compressing Data
App 20180063538 - Bernal; Edgar A. ;   et al.
2018-03-01
Active Visual Attention Models For Computer Vision Tasks
App 20180060691 - Bernal; Edgar A. ;   et al.
2018-03-01
Multi-modal Sensor Data Fusion For Perception Systems
App 20170371329 - Giering; Michael J. ;   et al.
2017-12-28
Material Detection Systems
App 20170227673 - Venugopalan; Vivek ;   et al.
2017-08-10

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.

© 2024 USPTO.report | Privacy Policy | Resources | RSS Feed of Trademarks | Trademark Filings Twitter Feed