Systems and methods for identifying and recommending tasks that may be performed in order to achieve member goals are provided. A system processes messages in real-time as these messages are exchanged to identify a goal and a timeframe from achieving the goal. Based on the goal and the corresponding timeframe, the system identifies task groupings corresponding to different methods for achieving the goal. The task groupings are ordered according to the likelihood of the member selecting a task grouping. When a member selects a task grouping, the system can monitor in real-time the performance of tasks of the task grouping to determine whether the goal is being achieved. If any tasks are not being performed successfully, the system can automatically adjust the remaining tasks, select new tasks, and/or adjust the timeframe for achieving the goal in order to provide the member with an opportunity to achieve the goal.

A system for shift design and assignment comprises an interface configured to receive scheduling input data which includes labor demand data, worker data, and scheduling configuration data, and a processor configured to generate a set of shift candidates, determine a set of decision variables, determine a cost function, determine a set of constraints, and determine simultaneously, using a SAT, a MP solver, or a MIP solver, a subset of the shift candidates selected in a final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of the shift candidates such that the hard constraints are fully respected, violations to the soft constraints are minimized, and the cost function is minimized.

The present teaching relates to method, system, medium, and implementations for task management. When information related to at least one task to be carried out by a user is received, multiple features associated with each of the at least one task are predicted automatically based on a plurality prediction models, derived based on historic information related to the user in carrying out past tasks. The at least one task is then automatically scheduled in a calendar associated with the user based on the multiple features predicted for each of the at least one task to generate an updated calendar with the at least one task scheduled therein.

A system and method for order fulfillment is provided. A pickup timeslot in which a customer order is scheduled for pickup from a retail store is received along with order servicing constraints of human workers of the retail store. The customer order is divided into a set of suborders and one or more timeslots in which the set of suborders is to be serviced are determined based on the pickup timeslot and the order servicing constraints. A set of human workers available to work at the retail store within the one or more timeslots is identified and an optimization problem is solved to determine an assignment to service the set of suborders. The assignment maps the set of suborders to the set of human workers and is such that utilization of total hours available with the set of human workers to service the set of suborders is above a threshold.

In a worker selection system that selects a worker who performs restoration work on a device that failed, the system includes a failure information reception unit that receives failure information including information about a content of the failure and information about an identification of the device, a worker information storage unit that stores worker information including information about a failure handling ability of the worker and information about a location of the worker, an area information storage unit that stores area information about a setting area including a location of the device and changing depending on a setting, and a worker selection unit that selects, based on the worker information and the area information, the worker who has an ability to handle the failure and is present in the setting area as a candidate to be dispatched.

A method for holistically ranking medical student and medical residency matching including, generating an applicant profile, determining a diversity score as a function of data in the applicant profile, determining a competency score as a function of data in the applicant profile, and calculating a representative score as a function of the diversity score and the competency score. Further, the method includes presenting, via a graphical user interface (GUI) a graphical representation of the representative score.

Systems and methods for controlling autonomous vehicles are provided. Assisted autonomy tasks facilitated by operators for a plurality of autonomous vehicles can be tracked in order to generate operator attributes for each of a plurality of operators. The attributes for an operator can be based on tracking one or more respective assisted autonomy tasks facilitated by the operator. The operator attributes can be used to facilitate enhanced remote operations for autonomous vehicles. For example, request parameters can be obtained in response to a request for remote assistance associated with an autonomous vehicle. An operator can be selected to assist with autonomy tasks for the autonomous vehicle based at least in part on the operator attributes for the operator and the request parameters associated with the request. Remote assistance for the first autonomous vehicle can be initiated, facilitated by the first operator in response to the request for remote assistance.

A device, system and method for positioning monitors in schools is provided. One or more memories store: adversarial relationship data identifying adversarial relationships between students at a school; and schedule data indicative of spatiotemporal locations of the students having the adversarial relationships. A device accesses the adversarial relationship data and the schedule data. The device determines, based on the schedule data, spatiotemporal crosspaths at the school of the students having the adversarial relationships. The device determines a ranking of the spatiotemporal crosspaths. The device assigns one or more monitors to one or more of the spatiotemporal crosspaths. The device transmits notifications to communication devices associated with the one or more monitors, the notifications to instruct the one or more monitors to move to a respective assigned spatiotemporal crosspath.

A method of automatically customizing user training on a laboratory system is presented. The method comprises retrieving a configuration file of the laboratory system, logging into the laboratory system by a laboratory user, identifying and authenticating the laboratory user for use and training on the laboratory system, after the laboratory user is identified and authenticated by the laboratory system, retrieving training credentials required for that laboratory user for the laboratory system based on a user profile of the laboratory user, and based on the training credentials of the laboratory user, automatically assigning training material required for the laboratory user to use the laboratory system based on the training credentials of the laboratory user and the configuration file of the laboratory system and loading the assigned training material.

A method and a system for managing a task are provided. The method includes: receiving, from a user, a description of a first task that relates to a first project that has not been completed; generating, by using a machine learning algorithm, a plan for executing the first task based on the received description of the first task and historical task management information that relates to at least one task that has been completed; initiating an execution of the first task based on the generated plan; and tracking the execution of the first task in order to determine whether the execution is progressing in accordance with the generated plan. The historical task management information includes task-specific skill requirements and task duration.