loadpatents
name:-0.015902042388916
name:-0.025581121444702
name:-0.012979030609131
Krizhevsky; Alexander Patent Filings

Krizhevsky; Alexander

Patent Applications and Registrations

Patent applications and USPTO patent grants for Krizhevsky; Alexander.The latest application filed is for "neural networks for object detection and characterization".

Company Profile
12.14.16
  • Krizhevsky; Alexander - Mountain View CA
  • Krizhevsky; Alexander - San Jose CA
  • Krizhevsky; Alexander - Toronto 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
PatentDate
Neural Networks For Object Detection And Characterization
App 20220198807 - Ogale; Abhijit ;   et al.
2022-06-23
Neural networks for vehicle trajectory planning
Grant 11,256,983 - Ogale , et al. February 22, 2
2022-02-22
Neural networks for object detection and characterization
Grant 11,216,674 - Ogale , et al. January 4, 2
2022-01-04
System And Method For Addressing Overfitting In A Neural Network
App 20210224659 - Hinton; Geoffrey E. ;   et al.
2021-07-22
System and method for addressing overfitting in a neural network
Grant 10,977,557 - Hinton , et al. April 13, 2
2021-04-13
Neural networks for vehicle trajectory planning
Grant 10,883,844 - Ogale , et al. January 5, 2
2021-01-05
System And Method For Parallelizing Convolutional Neural Networks
App 20200327391 - Krizhevsky; Alexander ;   et al.
2020-10-15
Neural networks for object detection
Grant 10,769,809 - Ogale , et al. Sep
2020-09-08
Object detection neural network
Grant 10,733,506 - Ogale , et al.
2020-08-04
Neural Networks For Object Detection And Characterization
App 20200242375 - Ogale; Abhijit ;   et al.
2020-07-30
Neural Networks For Vehicle Trajectory Planning
App 20200174490 - Ogale; Abhijit ;   et al.
2020-06-04
System and method for parallelizing convolutional neural networks
Grant 10,635,966 - Krizhevsky , et al.
2020-04-28
Neural networks for object detection and characterization
Grant 10,628,686 - Ogale , et al.
2020-04-21
Parallelizing the training of convolutional neural networks
Grant 10,540,587 - Krizhevsky Ja
2020-01-21
System And Method For Addressing Overfitting In A Neural Network
App 20190347558 - Hinton; Geoffrey E. ;   et al.
2019-11-14
Neural Networks For Object Detection And Characterization
App 20190279005 - Ogale; Abhijit ;   et al.
2019-09-12
System and method for addressing overfitting in a neural network
Grant 10,366,329 - Hinton , et al. July 30, 2
2019-07-30
Neural Networks for Vehicle Trajectory Planning
App 20190034794 - Ogale; Abhijit ;   et al.
2019-01-31
Neural Networks for Vehicle Trajectory Planning
App 20190033085 - Ogale; Abhijit ;   et al.
2019-01-31
Neural networks for object detection
Grant 10,013,773 - Ogale , et al. July 3, 2
2018-07-03
Parallelizing neural networks during training
Grant 9,811,775 - Krizhevsky , et al. November 7, 2
2017-11-07
System And Method For Parallelizing Convolutional Neural Networks
App 20170132514 - Krizhevsky; Alexander ;   et al.
2017-05-11
System And Method For Addressing Overfitting In A Neural Network
App 20160335540 - Hinton; Geoffrey E. ;   et al.
2016-11-17
System and method for addressing overfitting in a neural network
Grant 9,406,017 - Hinton , et al. August 2, 2
2016-08-02
System and method for generating training cases for image classification
Grant 9,251,437 - Krizhevsky , et al. February 2, 2
2016-02-02
System And Method For Parallelizing Convolutional Neural Networks
App 20150339571 - Krizhevsky; Alexander ;   et al.
2015-11-26
Parallelizing The Training Of Convolutional Neural Networks
App 20150294219 - Krizhevsky; Alexander
2015-10-15
System And Method For Generating Training Cases For Image Classification
App 20140177947 - Krizhevsky; Alexander ;   et al.
2014-06-26
System And Method For Parallelizing Convolutional Neural Networks
App 20140180989 - Krizhevsky; Alexander ;   et al.
2014-06-26
System And Method For Addressing Overfitting In A Neural Network
App 20140180986 - Hinton; Geoffrey E. ;   et al.
2014-06-26

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