Patent Assignment Details
NOTE:Results display only for issued patents and published applications.
For pending or abandoned applications please consult USPTO staff.
|
Reel/Frame: | 061072/0873 | |
| Pages: | 5 |
| | Recorded: | 08/04/2022 | | |
Attorney Dkt #: | 2020-0132 USC/CORRECTIVE |
Conveyance: | CORRECTIVE ASSIGNMENT TO CORRECT THE THE SPELLING OF THE ASSIGNEE NAME PREVIOUSLY RECORDED AT REEL: 060552 FRAME: 0412. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. |
|
Total properties:
1
|
|
Patent #:
|
|
Issue Dt:
|
06/06/2023
|
Application #:
|
17105971
|
Filing Dt:
|
11/27/2020
|
Publication #:
|
|
Pub Dt:
|
06/02/2022
| | | | |
Title:
|
PREDICTION OF NETWORK EVENTS VIA RULE SET REPRESENTATIONS OF MACHINE LEARNING MODELS
|
|
Assignee
|
|
|
1150 S. OLIVE STREET |
SUITE 2300 |
LOS ANGELES, CALIFORNIA 90015 |
|
Correspondence name and address
|
|
AT&T LEGAL DEPARTMENT - TRBK
|
|
ONE AT&T WAY
|
|
ROOM 2A-212
|
|
BEDMINSTER, NJ 07921
|
Search Results as of:
05/16/2024 03:08 AM
If you have any comments or questions concerning the data displayed,
contact
PRD / Assignments at 571-272-3350. v.2.6
Web interface last modified:
August 25, 2017 v.2.6
|