US 12,112,526 B2
Machine learning system and method for determining or inferring user action and intent based on screen image analysis
Ali Jelveh, San Francisco, CA (US)
Assigned to M37 INC., San Francisco, CA (US)
Filed by M37 Inc., San Francisco, CA (US)
Filed on May 31, 2023, as Appl. No. 18/326,756.
Application 18/326,756 is a continuation of application No. 17/318,032, filed on May 12, 2021, granted, now 11,704,898.
Application 17/318,032 is a continuation of application No. 16/107,639, filed on Aug. 21, 2018, granted, now 11,042,784, issued on Jun. 22, 2021.
Claims priority of provisional application 62/641,486, filed on Mar. 12, 2018.
Claims priority of provisional application 62/559,180, filed on Sep. 15, 2017.
Prior Publication US 2023/0306726 A1, Sep. 28, 2023
Int. Cl. G06V 10/778 (2022.01); G06F 18/21 (2023.01); G06F 18/40 (2023.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06N 3/006 (2023.01); G06N 7/01 (2023.01); G06T 13/40 (2011.01)
CPC G06V 10/7784 (2022.01) [G06F 18/2178 (2023.01); G06F 18/41 (2023.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06N 3/006 (2013.01); G06N 7/01 (2023.01); G06T 13/40 (2013.01); G06V 2201/02 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor that executes computer executable components stored in memory, wherein the computer executable components comprise:
an input component that accesses data comprising graphical image data associated with interactions of a user with a computing device;
a model generation component that generates an artificial intelligence (AI) model that processes the graphical image data to learn user behavior and in response to learning the user behavior, generates a prediction associated with future interactions of the user with the computing device;
a reward component that analyzes the prediction against the future interactions of the user with the computing device to assign a reward value to the prediction; and
a training component that iteratively trains the AI model according to the reward value to generate one or more new AI models directed to optimizing the future interactions of the user with the computing device.