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
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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.
Claims18
A computer-implemented method for automatically performing a task, the method comprising:
- receiving at least one brain imaging stream associated with at least one user that is performing the task;
- receiving task-related data that is associated with the task;
- determining one or more brain regions used for the task based on the at least one brain imaging stream;
- selecting a plurality of artificial intelligence (AI) models based on the one or more brain regions used for the task;
- training at least one of the plurality of AI models using training data that comprises the task-related data;
- generating a processing flow for the plurality of AI models, wherein the processing flow specifies at least one of:
- a serial connection between different models of the plurality of AI models, a parallel connection between different models of the plurality of AI models, or a conditional logic connection between different models of the plurality of AI models;
- deploying the plurality of trained AI models to a machine configured with hardware that is capable of performing the task, wherein the deployed plurality of AI models are configured using the generated processing flow;
- and
- automatically performing the task using the machine and the deployed plurality of AI models.
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 at least one brain imaging stream associated with at least one user that is performing the task;
- receiving task-related data that is associated with the task;
- determining one or more brain regions used for the task based on the at least one brain imaging stream;
- selecting a plurality of artificial intelligence (AI) models based on the one or more brain regions used for the task;
- training at least one of the plurality of AI models, using training data that comprises the task-related data;
- generating a processing flow for the plurality of AI models, wherein the processing flow specifies at least one of:
- a serial connection between different models of the plurality of AI models, a parallel connection between different models of the plurality of AI models, or a conditional logic connection between different models of the plurality of AI models;
- deploying the plurality of trained AI models to the machine configured with hardware that is capable of performing the task, wherein the deployed plurality of AI models are configured using the generated processing flow;
- and
- instructing the machine to automatically perform the task using the deployed plurality of AI models.
Dependencies are inferred from the claim text.