CONTINUOUSLY LEARNING AND OPTIMIZING ARTIFICIAL INTELLIGENCE (AI) ADAPTIVE NEURAL NETWORK (ANN) COMPUTER MODELING METHODS AND SYSTEMS

Patent №

US 11,138,503

Granted

2021-10-05

Filed 2019

Owner

LARSX

Lab

AI components

6

ml · nlp · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16496302

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 modeling (HACM) can be used singularly or collectively to modeling and predict complex human reactions and affects.

Machine learningNatural languageSpeechKnowledge representationPlanningAI hardwareG06N 3/08G06V 40/20G06F 3/011G06F 3/017G06F 18/211G06N 3/0409G06N 3/044G06N 3/0499+3 more

AI classification

Machine learning1.00
Natural language1.00
AI hardware1.00
Planning0.99
Speech0.93
Knowledge representation0.92
Vision0.27
Evolutionary computation0.00

Ownership

LARSX

assignment · 523830252

Assignors

WOOD, LAURENCE F., WOOD, LISA S.

On an employer assignment, the assignors are typically the inventors.

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