Cho; Youngkwan

Patent Applications and Registrations

Patent applications and USPTO patent grants for Cho; Youngkwan.The latest application filed is for "hyperassociation in episode memory".

Company Profile

5.16.10

Cho; Youngkwan - Los Angeles 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
Hyperassociation in episode memory Grant 11,320,820 - Cho , et al. May 3, 2	2022-05-03
Method of real time vehicle recognition with neuromorphic computing network for autonomous driving Grant 11,199,839 - Jiang , et al. December 14, 2	2021-12-14
System and method for synthetic aperture radar target recognition using multi-layer, recurrent spiking neuromorphic networks Grant 11,150,327 - Jiang , et al. October 19, 2	2021-10-19
Scalable and efficient episodic memory in cognitive processing for automated systems Grant 10,896,202 - Cho , et al. January 19, 2	2021-01-19
Hyperassociation In Episode Memory App 20200310423 - Cho; Youngkwan ; et al.	2020-10-01
System and method for decoding spiking reservoirs with continuous synaptic plasticity Grant 10,586,150 - Cho , et al.	2020-03-10
Method Of Real Time Vehicle Recognition With Neuromorphic Computing Network For Autonomous Driving App 20200026287 - Jiang; Qin ; et al.	2020-01-23
Efficient situational awareness by event generation and episodic memory recall for autonomous driving systems Grant 10,409,279 - Kwon , et al. Sept	2019-09-10
Efficient Situational Awareness From Perception Streams In Autonomous Driving Systems App 20180217603 - KWON; HYUKSEONG ; et al.	2018-08-02
Efficient Situational Awareness By Event Generation And Episodic Memory Recall For Autonomous Driving Systems App 20180217595 - KWON; HYUKSEONG ; et al.	2018-08-02
Scalable And Efficient Episodic Memory In Cognitive Processing For Automated Systems App 20180210939 - Cho; Youngkwan ; et al.	2018-07-26
System And Method For Decoding Spiking Reservoirs With Continuous Synaptic Plasticity App 20170316310 - Cho; Youngkwan ; et al.	2017-11-02
Synaptic time multiplexing Grant 9,697,462 - Cruz-Albrecht , et al. July 4, 2	2017-07-04
Spiking model to learn arbitrary multiple transformations for a self-realizing network Grant 9,430,737 - Srinivasa , et al. August 30, 2	2016-08-30
Synaptic time multiplexing neuromorphic network that forms subsets of connections during different time slots Grant 8,977,578 - Cruz-Albrecht , et al. March 10, 2	2015-03-10
Spiking Model To Learn Arbitrary Multiple Transformations For A Self-realizing Network App 20150026110 - Srinivasa; Narayan ; et al.	2015-01-22
Method and system for concurrent event forecasting Grant 8,577,815 - Barajas , et al. November 5, 2	2013-11-05
Saccadic tracking for an electro-mechanical system Grant 7,977,906 - Srinivasa , et al. July 12, 2	2011-07-12
Method And System For Concurrent Event Forecasting App 20110099136 - Barajas; Leandro G. ; et al.	2011-04-28
System and method for signal prediction Grant 7,899,761 - Kadambe , et al. March 1, 2	2011-03-01
Spiking Dynamical Neural Network For Parallel Prediction Of Multiple Temporal Events App 20100179935 - SRINIVASA; NARAYAN ; et al.	2010-07-15
System and method for signal prediction App 20060241927 - Kadambe; Shubha ; et al.	2006-10-26

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.