Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment.

A method includes a deployment computer receiving a client request message comprising a plurality of established parameters and established values for the established parameters, and inquiry parameters and inquiry values for the inquiry parameters from a client computer. For each model of a plurality of models stored in a database, the deployment computer can determine if a model in the plurality of models is a suitable model based on a likelihood value. The deployment computer can then generate one or more client response messages comprising one or more assets created by one or more suitable models. The deployment computer can then transmit the one or more client response messages comprising the one or more assets to the client computer.

There is provided a system and method for controlling a plurality of endpoint devices. Multiple connection requests, each connection request originating from an endpoint device are received by a server. Each endpoint device has a client interface thereat that generates the connection request as an outbound connection request from the endpoint device to the server computer. A persistent data communication session is established between the server computer and the client interface of each endpoint device. Command data is received to control one or more of the endpoint devices. The server computer generates a data packet including the command data and transmits the data packet via the persistent data communication session to the endpoint device, to enable the endpoint device instructions to be carried out by the endpoint device, and result data is then received by the server once the instructions are carried out.

The invention belongs to the technical field of the molecular force field and particularly relates to a computing task management and analysis system for molecular force field parameter building and an operation method thereof. The system comprises a computing result analysis module and a computing task management module, the computing result analysis module is connected with the computing task management module, and the computing task management module is connected with a force field building computing server through a cloud computing interface. The operation method comprises: (1) selecting a molecular force field building computing templates; (2) selecting a computing task submitting platform and submitting computing tasks; (3) retrieving computing results; and (4) analyzing the computing results. According to the invention, since force field building system users mainly including researchers do not have powerful open interface development capacity commonly, a convenient cloud computing calling interface is provided, and the force field building speed is improved; the system provides full-view and visual effects; an interactive analysis mode is provided for the force field building computing results, which facilitates quick location of a computing exception; and automatic task processing and analysis are supported.

Technologies are described for determining between synchronous and asynchronous modes for computing service requests. Computing service requests are received by a computing service from clients. The computing service dynamically determines whether to use synchronous mode or asynchronous mode for processing the computing service requests. The computing service makes the dynamic determination of which mode to use (synchronous or asynchronous) based on various criteria, which can include synchronous/asynchronous mode recommendations generated by machine learning models and/or synchronous/asynchronous mode recommendations generated by static rules.

An example software patch difference device includes a processor to: receive current software version indicators of software installed at monitored devices; generate, using a cryptographic function, respective identifiers of the current software version indicators for the monitored devices; retrieve, from storage, respective previous identifiers of previous software version indicators of the software installed at the monitored devices, the respective previous identifiers generated using the cryptographic function; compare, for the current software version indicators, a respective identifier with a respective previous identifier; when a difference is determined therebetween for a given device: replace, at the storage, respective previous software version indicators for the given device with respective current software version indicators; and transmit, to an analytics device, a respective software change indicator of the given device, to trigger the analytics device to generate a report indicating statistics for respective software versions installed at the monitored devices.

Response delay associated with a state-based client-server application can be reduced with utilization of an application state server-side cache. A server caches data for a set of one or more possible states of a client-server application that may follow a current state of the application. The server rapidly responds to a client request with data that corresponds to an appropriate new state of the application in accordance with the application state server-side cache. The server determines that the application will transition to the appropriate new state from the current state of the application with the application state server-side cache based, at least in part, on an operation indicated by the client request.

A cooling-power-consumption-based workload allocation system includes a workload allocation system coupled to at least one client device and a plurality of server devices. The workload allocation system receives a first workload request that identifies a first workload from the at least one client device, and determines a first workload priority of the first workload relative to a second workload priority of each second workload being performed by the plurality of server devices. Based on the first workload priority of the first workload relative to the second workload priority of each second workload and a cooling-power-utilization-efficiency ranking of each of the plurality of server devices, the workload allocation system identifies a first server device included in the plurality of server devices for performing the first workload, and causes the first server device to perform the first workload.

A method for registering a handler in a configured sequence of handlers includes: receiving, by a processor and memory implementing a sequencer infrastructure, a configuration script defining a sequence including one or more handler identifiers and corresponding one or more handler arguments; invoking a handler initialization entry point for a handler corresponding to a handler identifier, the invoking the handler initialization entry point including: selecting, based on the corresponding one or more handler arguments, a handler type from among two or more of: a configured instance of the handler; a configured alternate handler different from the handler; an alternate sequence of handlers; an expression; and a no-op handler; and initializing a configured handler based on the handler type selected and the corresponding one or more handler arguments; and adding the configured handler to a configured sequence of handlers.

In one embodiment, a method includes receiving a user request including an ambiguous mention to create a reminder from a client system associated with a user, disambiguating the mention to identify a first entity referenced in the mention, wherein the first entity is identified based on user profile data associated with the user, determining an activation condition associated with the user request, wherein the activation condition is based on one or more of a time or a location referenced in the user request, wherein the time and/or location are determined based on contextual information associated with the user request, generating the reminder based on the first entity and the activation condition, and sending instructions to the client system for presenting the reminder when the activation condition is satisfied.