Invention Grant
- Patent Title: Continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems
-
Application No.: US17493599Application Date: 2021-10-04
-
Publication No.: US11893488B2Publication Date: 2024-02-06
- Inventor: Laurence F. Wood , Lisa S. Wood
- Applicant: LARSX
- Applicant Address: US MT Billings
- Assignee: LARSX
- Current Assignee: LARSX
- Current Assignee Address: US MT Billings
- Agent Peter B. Scull
- Main IPC: G06N3/08
- IPC: G06N3/08

Abstract:
Provided are continuously learning and optimizing artificial intelligence (AI) adaptive neural network (ANN) computer modeling methods and systems, designated “human affect computer modeling” (HACM) or “affective neuron” (AN) and, more particularly, to AI methods, systems and devices, that can recognize, interpret, process and simulate human reactions and affects such as emotional responses to internal and external sensory stimuli, that provides real-time reinforcement learning modeling that reproduces human affects and/or reactions, wherein the human affect computer modeling (HACM) can be used singularly or collectively for modeling and predicting complex human reactions and affects.
Public/Granted literature
Information query