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.
Claims21
(canceled)
A computer-implemented method for training and deploying an intelligent agent, the method comprising:
- receiving a set of data streams associated with at least one user that is performing a task, wherein the set of data streams include at least a stream of sensor data related to a task being performed by the at least one user and a brain imaging stream;
- determining one or more brain regions being used for the task based on the brain imaging stream;
- selecting at least one artificial intelligence (AI) model based on the one or more brain regions being used for the task;
- generating training data for training the at least one AI model, wherein the training data comprises at least the stream of sensor data;
- training the selected at least one AI model using the training data;
- deploying an intelligent agent comprising the at least one trained AI model to a machine configured with hardware that is capable of performing the task;
- and
- automatically performing the task using the machine and the deployed intelligent agent.
A system for automating a task, the system comprising:
- a machine configured with hardware that is capable of performing the task;
- and
- a computing system comprising one or more processors and memory configured with instructions that, when executed by the one or more processors, further cause the computing system to perform steps comprising:
- receiving a set of data streams associated with at least one user that is performing the task, wherein the set of data streams include at least a stream of sensor data related to a task being performed by the at least one user and a brain imaging stream;
- determining one or more brain regions being used for the task based on the brain imaging stream;
- selecting at least one artificial intelligence (AI) model based on the one or more brain regions being used for the task;
- generating training data for training the at least one AI model, wherein the training data comprises at least the stream of sensor data;
- training the selected at least one AI model using the training data;
- deploying the at least one trained AI model to the machine configured with hardware that is capable of performing the task;
- and
- instructing the machine to automatically perform the task using the deployed at least one AI model.
Dependencies are inferred from the claim text.