General Electric Company

Kirk Lars Bruns

Charles Burton Theurer

Vrinda Rajiv

Bradford Wayne Miller

Michael Adam Kinstrey

Peter Henry Tu

Xiaoming Liu

Christopher John Olivier

Piali Das

According to some embodiments, an available algorithm data store may contain information about a pool of available algorithms. An algorithm selection platform coupled to the available algorithm data store may access the information about the pool of available algorithms and compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the real environment. The algorithm selection platform may then automatically determine algorithm execution context information and, based on said comparison and the algorithm execution context information, select at least one of the pool of available algorithms as a potential replacement algorithm. An indication of the selected at least one potential replacement algorithm may then be transmitted (e.g., to be evaluated in a shadow environment by an algorithm evaluation platform).

Potential replacement algorithm selection based on algorithm execution context information

Methods and apparatus disclosed herein autonomously evaluate replacement algorithms. An example system associated with a live environment executing a current algorithm includes at least one memory, instructions, and processor circuitry to execute the instructions to manage execution of the current algorithm in the live environment, the live environment associated with a deployment platform, and manage, based on receipt of at least one potential replacement algorithm, a shadow environment causes execution of the at least one potential replacement algorithm in the shadow environment, the shadow environment instantiated separately from the live environment, the shadow environment utilizes data from the live environment during execution of the at least one potential replacement algorithm in the shadow environment.

Performance manager to autonomously evaluate replacement algorithms

An algorithm data store may contain information about a pool of available algorithms (e.g., to improve operation of an industrial asset). A deployment platform may be implemented in an edge portion at an industrial site associated with a live environment executing a current algorithm. A lifecycle manager of the deployment platform may manage execution of the current algorithm in the live environment creating source data. A performance manager may receive an indication of a selected at least one potential replacement algorithm from the pool of available algorithms and manage execution of the at least one potential replacement algorithm in a shadow environment using the source data. The performance manager may then report performance information associated with the at least one potential replacement algorithm. When appropriate, the potential replacement algorithm may replace the current algorithm.

An algorithm data store may contain information about a pool of available algorithms. An algorithm analysis engine may compare the information about each of the pool of available algorithms with at least one requirement associated with the current algorithm executing in the live environment. Based on the comparison, the algorithm analysis engine may select at least one of the pool of available algorithms as a potential replacement algorithm and transmit an indication of the selected at least one potential replacement algorithm. A deployment platform may include a lifecycle manager that manages execution of the current algorithm in the live environment. The lifecycle manager may also receive the indication of the selected at least one potential replacement algorithm, manage execution of the at least one potential replacement algorithm in a shadow environment, and report performance information associated with the current algorithm and the at least one potential replacement algorithm.

Replacement algorithm selection platform

Systems and methods are disclosed for emotive healthcare software usability. A method to improve software usability is described, the method comprising presenting a software application to a user. The method also including logging activities of the user with respect to the software application, wherein the logging includes recording the user using the software application, and wherein the activities include user action with respect to the software application and mouse location on a user interface displaying the software application. The method also including interpreting user emotion from the recording, and tracking an emotive index based on a combination of user emotion and user action with respect to the software application and mouse location. The method also including providing feedback based on the emotive index.

Growing community of inventors

Waitsfield, VT, United States of America

Kirk Lars Bruns