AI solution selection for an automated robotic process
AssigneeStrong Force TX Portfolio 2018, LLC
InventorsCharles Howard Cella, Jenna Lynn Parenti, Taylor D. Charon
Life of this patent
Estimating the term…
Abstract
A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.
Claims20
A computer-implemented method for selecting an artificial intelligence (AI) solution for an automated robotic process, the method comprising:
- receiving at least one functional media, the at least one functional media comprising information indicative of brain activity by a human engaged in a task of interest, the brain activity by the human comprising a set of spatial-temporal neocortical activity patterns of the human;
- analyzing the at least one functional media;
- identifying, from analyzing the at least one functional media, an activity level in at least one brain region of the human, wherein the at least one brain region corresponds to an active region of a neocortex of the human;
- identifying, based on the activity level in the at least one brain region of the human, at least one of a brain region parameter corresponding to the active region of the neocortex of the human, or an activity parameter corresponding to a type of activity in which the human is engaged in the task of interest, wherein the activity level represents a strength of the type of activity in which the human is engaged in the task of interest;
- and
- selecting a component of the AI solution to facilitate at least a portion of the automated robotic process based on, at least in part, at least one of the brain region parameter, the activity parameter, or the activity level, wherein the selected component of the AI solution simulates a processing activity to replicate an activity of the at least one brain region of the human engaged in the task of interest,
- wherein the selecting the component of the AI solution includes selecting at least one of a neural network type or a neural network arrangement of the AI solution.
A non-transitory computer readable storage medium storing instructions that, when executed by one or more processors, comprise:
- receiving at least one functional media, the at least one functional media comprising information indicative of brain activity by a human engaged in a task of interest, the brain activity by the human comprising a set of spatial-temporal neocortical activity patterns of the human;
- analyzing the at least one functional media;
- identifying, from analyzing the at least one functional media, an activity level in at least one brain region of the human, wherein the at least one brain region corresponds to an active region of a neocortex of the human;
- identifying, based on the activity level in the at least one brain region of the human, at least one of a brain region parameter corresponding to the active region of the neocortex of the human, or an activity parameter corresponding to a type of activity in which the human is engaged in the task of interest,
- wherein the activity level represents a strength of the type of activity in which the human is engaged in the task of interest;
- and
- selecting a component of an artificial intelligence (AI) solution to facilitate at least a portion of an automated robotic process based on at least one of the brain region parameter, the activity parameter, or the activity level, wherein the selected component of the AI solution simulates a processing activity to replicate an activity of the at least one brain region of the human engaged in the task of interest,
- wherein the selecting the component of the AI solution includes selecting at least one of a neural network type or a neural network arrangement of the AI solution.
Dependencies are inferred from the claim text.