loadpatents
name:-0.00038695335388184
name:-0.011182069778442
name:-0.011013984680176
ThetaRay Ltd. Patent Filings

ThetaRay Ltd.

Patent Applications and Registrations

Patent applications and USPTO patent grants for ThetaRay Ltd..The latest application filed is for "system and method for anomaly detection in dynamically evolving data using random neural network decomposition".

Company Profile
24.30.0
  • ThetaRay Ltd. - Hod HaSharon IL
  • ThetaRay Ltd - Hod HaSharon N/A IL
  • ThetaRay Ltd. - Hod Hashron IL
*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
System and method for anomaly detection in dynamically evolving data using random neural network decomposition
Grant 11,049,004 - Segev June 29, 2
2021-06-29
System and method for anomaly detection in dynamically evolving data using hybrid decomposition
Grant 10,812,515 - Segev , et al. October 20, 2
2020-10-20
System and method for anomaly detection in dynamically evolving data using hybrid decomposition
Grant 10,798,118 - Segev , et al. October 6, 2
2020-10-06
System and method for detecting an undesirable event
Grant 10,719,768 - Segev , et al.
2020-07-21
System and method for anomaly detection in dynamically evolving data using random neural network decomposition
Grant 10,692,004 - Segev
2020-06-23
System and method for anomaly detection in dynamically evolving data using low rank matrix decomposition
Grant 10,509,695 - Averbuch , et al. Dec
2019-12-17
Measure-based anomaly detection
Grant 10,432,654 - Averbuch , et al. O
2019-10-01
System and method for anomaly detection in dynamically evolving data using hybrid decomposition
Grant 10,419,470 - Segev , et al. Sept
2019-09-17
Anomaly detection in dynamically evolving data and systems
Grant 10,333,953 - Averbuch , et al.
2019-06-25
System and method for detecting an undesirable event
Grant 10,296,832 - Segev
2019-05-21
Anomaly detection in dynamically evolving data and systems
Grant 10,187,409 - Averbuch , et al. Ja
2019-01-22
System and method for anomaly detection in dynamically evolving data using hybrid decomposition
Grant 10,148,680 - Segev , et al. De
2018-12-04
Measure based anomaly detection
Grant 10,063,581 - Averbuch , et al. August 28, 2
2018-08-28
Measure based anomaly detection
Grant 9,942,254 - Averbuch , et al. April 10, 2
2018-04-10
Anomaly detection in dynamically evolving data and systems
Grant 9,843,596 - Averbuch , et al. December 12, 2
2017-12-12
Method for classification of newly arrived multidimensional data points in dynamic big data sets
Grant 9,147,162 - Averbuch , et al. September 29, 2
2015-09-29

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