A process and method for generation of 3D interactive rendition of space by first digitizing the space as a TXLD file from point clouds, 2-D floor plans, photographs and/or videos, and/or elevation views then processing the file to create 3D interactive renditions of the space using virtual reality, augmented reality, or mixed reality technologies, constantly growing and evolving 3D library of digital representations of both fixtures and non-fixtures based on real products, automating and personalizing product selection and placement for a given user and target environment, using an ensemble recommendation system, which relies on weighted averages of probabilistic, content-based, clustering, and collaborative filtering models, among other suitable models that may be added to the ensemble in the future. If a medium does not necessitate 3D model creation of the environment the products are automatically placed in the medium view based on the encoded position in the TXLD file.

A computer-implemented method is presented for reporting application programs linked to by an application running under an online transaction processor of a mainframe computing environment. An intercept program is implanted in an address space of the online transaction processor. A task executing outside of the address space of the online transaction processor identifies an address for a target domain gate program supported in a domain by the online transaction processor; identifies an address for an unused domain gate program supported in the domain by the online transaction processor; replaces the address for the unused domain gate program with the address for the target domain gate program; and replaces the address for the target domain gate program with an address for the intercept program.

Embodiments relate to an intelligent computer platform to multi-dimensionally optimize device operation. Static hardware device data are acquired and dynamic hardware characteristic data are tracked over one or more temporal segments. A neural model (NM) is trained with corresponding device and network data. The acquired static and dynamic data are input into the NM, and locale processing patterns corresponding to the inputted data are identified. One or more data points and corresponding measurements of the tracked dynamic hardware characteristic data are temporally analyzed. A processing locale corresponding to the temporal analysis is identified and returned as output data, and one or more encoded actions in compliance with the identified processing locale are selectively implemented.

Described herein is a system and method for determining the status of instances and update applications to reflect the updated statuses of instances, in real-time. In an embodiment, each instance may enable a service to determine the status of an instance. A core application server may load server pool configurations including a status of an instance. The status indicates the instance is live. Core application server may read a gate definition of the instance using the service enabled on the instance. Core application server may determine that a current status of the instance is virtual, based on the gate definition of the instance. The core application may a local cache of core application server to reflect that the current status of the instance is virtual and propagate to applications executed on other instances and core application server.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that provide for an improved and more efficient system of networked computing devices. The embodiments disclose an apparatus and system that enable client devices to install integrations of a third party application that supports variable host address identification. The apparatus and methods further enable a user of the client device to modify the host address identification associated with an installed integration. In this manner, the group-based communication system establishes communication links with network locations that vary from integration to integration and that may vary over time. To implement the invention, the group-based communication system supports the creation of a blueprint application, with an associated blueprint row that serves as the basis from which a plurality of differing integrations are generated. Further, the blueprint row stores variable host address identifications. The reduced number of data structures that result from supporting variable host address identifications increases system efficiency and reduces infrastructure requirements.

Provided are a method for processing model parameters, and an apparatus. The method comprises: a model parameter set to be sharded is obtained, wherein the model parameter set comprises a multi-dimensional array corresponding to a feature embedding; attribute information for a storage system used for storing the model parameter set to be sharded is obtained, wherein the storage system used for storing the model parameter set to be sharded differs from a system on which a model corresponding to the model parameter set to be sharded is located when operating; the model parameter set to be sharded is stored in the storage system according to the attribute information.

Systems and methods are described that include operations such as detecting a plurality of computing devices configured as a distributed ambient computing system, receiving a request to execute a computing task, obtaining, from the distributed ambient computing system, data representing a device context for at least two of the plurality of devices, generating a combined context corresponding to the distributed ambient computing system, the combined context representing a combination of the device context for the at least two devices, generating and providing at least one decision request based on the computing task and the combined context, receiving a response to the at least one decision request, and triggering execution of the computing task based on the response and the combined context.

An information handling system may include at least one processor and a non-transitory, computer-reading medium having instructions thereon that are executable by the at least one processor for: providing access to one or more objects via a plurality of application programming interface (API) endpoints; receiving a call to a particular API endpoint from an app; and determining, based on a security identifier (SID) of the app, whether the call should be allowed; wherein the SID of the app is based on one or more custom capabilities defined in a manifest of the app.

Systems and techniques for sharing media may utilize or implement a server receiving a media share request from a first device associated with a first user, the media share request including metadata pertaining to a media, retrieving a set of candidate media and fine tuning the set of candidate media to determine a selected candidate media, and transmitting metadata associated with the selected candidate media to a second device associated with a second user or transmitting a set of application program interface (API) calls to the second device.

Techniques described herein relate to a method for managing applications. The method may include obtaining, by a binding manager associated with a first CSP, a first API call from a first application; the binding manager identifies a first CSP API associated with the first CSP; identifies a second CSP API associated with the first API call; make a first determination that the second CSP API does not match the first CSP API; and in response to the first determination: translates the first API call into a format associated with the first CSP API to obtain a translated API call; initiates performance of the translated API call; obtains a first CSP API call return object in first CSP API format; translates the first CSP API call return object to obtain a translated CSP API call return object; and provides the translated CSP API call return object to the first application.