Systems and methods for providing a universal platform for at-home health testing and diagnostics are provided herein. In particular, a health testing and diagnostic platform is provided to connect medical providers with patients and to generate a unique, private testing environment. In some embodiments, the testing environment may facilitate administration of a medical test to a patient with the guidance of a proctor. In some embodiments, the patient may be provided with step-by-step instructions for test administration by the proctor within a testing environment. The platform may display unique, dynamic testing interfaces to the patient and proctor to ensure proper testing protocols and accurate test result verification.

A knowledge management system and method. The knowledge management system and method can have multi-industry applications with special suitability for program-based initiatives, research projects, healthcare sector programs, educational system programs, workforce development initiatives, and social service outcomes.

Non-limiting examples of the present disclosure relate to application of artificial intelligence (AI) processing to generate classifications of user activity for a group of users. For example, a classification prediction is generated indicating whether students in an educational class are predicted, over a predetermined time period, to have a high or low activity level based on contextual analysis of multiple types of user-driven events. As user activity data is typically quite robust, the present disclosure applies dimensionality reduction processing to efficiently manage user activity data and further improve accuracy in generating downstream binary classifications. A dimensionality reduction transformation of user activity data results in a low-dimensional representation of input feature data that is contextually relevant for generating a binary classification. Derived classifications are then utilized to generate data insights pertaining to user activity levels of one or more users. Data insights are can then be rendered for presentation.

Non-limiting examples of the present disclosure relate to application of artificial intelligence (AI) processing to generate classifications of user activity for a group of users. For example, a classification prediction is generated indicating whether students in an educational class are predicted, over a predetermined time period, to have a high or low activity level based on contextual analysis of multiple types of user-driven events. As user activity data is typically quite robust, the present disclosure applies dimensionality reduction processing to efficiently manage user activity data and further improve accuracy in generating downstream binary classifications. A dimensionality reduction transformation of user activity data results in a low-dimensional representation of input feature data that is contextually relevant for generating a binary classification. Derived classifications are then utilized to generate data insights pertaining to user activity levels of one or more users. Data insights are can then be rendered for presentation.

A method includes providing a mission regarding image capturing to a user terminal having an image capture function, evaluating an image transmitted from the user terminal in response to the mission, and additionally providing a new mission regarding image capturing to the user terminal in a case where a level of achievement of the mission is determined to satisfy a criterion based on the evaluation.

An information processing apparatus includes an accumulation unit that accumulates history information regarding a flight history of an aircraft. A specification unit, based on the history information accumulated by the accumulation unit, specifies a candidate to be an operation assistant who assists an operation planned by an assisted operator. An output unit outputs information regarding the candidate to be the operation assistant specified by the specification unit.

A curriculum management system is provided. The system comprises a data store comprising a plurality of coding elements, each coding element providing hierarchical prioritisation of a course in a program, and at least one server, the server configured to provide course suggestions for the program based at least in part upon the coding elements. Related curriculum management methods are also provided.

A method including generating, by a state engine from data describing behaviors of users in an environment external to the state engine, an executable process. An agent executes the executable process by determining, from the data describing the behaviors of the users, a problem of at least some of the users, and selects, based on the problem, a chosen action to alter the problem. At a first time, a first electronic communication describing the chosen action to the at least some of the users is transmitted. Ongoing data describing ongoing behaviors of the users is monitored. A reward is generated based on the ongoing data to change a parameter of the agent. The parameter of the agent is changed to generate a modified agent. The modified agent executes the executable process to select a modified action. At a second time, a second electronic communication describing the modified action is transmitted.

Various aspects of the subject technology relate to systems, methods, and machine-readable media for compliance training. The method includes determining a compliance status of a user. The method also includes determining a curriculum for the user based at least in part on the determined compliance status of the user, the curriculum comprising a series of nudges. The method also includes setting a deadline for completion of the curriculum. The method also includes sending the user reminders regarding completion of the curriculum. The method also includes receiving confirmation of completion of the curriculum. The method also includes generating a compliance certificate for the user.

A computing system for generating a dynamic path for a fellow, includes a processor and a memory storing instructions that when executed by the processor cause the computing system to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A non-transitory computer readable medium includes program instructions that when executed, cause a computer to receive the fellow's skill graph, receive a target skill, receive a calendar object and generate the dynamic path including a task and/or a session. A method for generating a dynamic path for a fellow includes receiving the fellow's skill graph, receiving a target skill, receiving a calendar object and generating the dynamic path including a task and/or a session.