A method for a first set of processors and a second set of processors comprises, the first set of processors processing a set of queries, as a result of a change in utilization of the first set of processors, processing the set of queries using the second set of processors. The change in processors is independent of a change in storage resources, the storage resources shared by the first set of processors and the second set of processors.

A method for a first set of processors and a second set of processors comprises, the first set of processors processing a set of queries, as a result of a change in utilization of the first set of processors, processing the set of queries using the second set of processors. The change in processors is independent of a change in storage resources, the storage resources shared by the first set of processors and the second set of processors.

A computing system includes a first computing platform and a virtual exchange computing platform, where the first computing platform provides an application and a first electronic value token and the virtual exchange computing platform is communicatively coupled to the first computing platform. The virtual exchange computing platform receives the information corresponding to the first electronic value token and calculates, via API functions linking to banking as a service (BaaS) functionality processed by a valuation computing platform, a valuation of the first electronic value token. The virtual exchange computing platform causes presentation, via a network and on a first user device, a user interface screen presenting a visualization of a value of the electronic value token and comprising an input and triggers, based on a received trade input from the user interface, a virtual exchange of value involving the first electronic value token.

A computing system includes a first computing platform and a virtual exchange computing platform, where the first computing platform provides an application and a first electronic value token and the virtual exchange computing platform is communicatively coupled to the first computing platform. The virtual exchange computing platform receives the information corresponding to the first electronic value token and calculates, via API functions linking to banking as a service (BaaS) functionality processed by a valuation computing platform, a valuation of the first electronic value token. The virtual exchange computing platform causes presentation, via a network and on a first user device, a user interface screen presenting a visualization of a value of the electronic value token and comprising an input and triggers, based on a received trade input from the user interface, a virtual exchange of value involving the first electronic value token.

A video content selecting apparatus for augmented reality is provided. The apparatus includes a communication interface; and an operation processor configured to perform: (a) collect a plurality of video contents through the Internet; (b) extract feature information and metadata for each of the plurality of video contents, and generate a hash value corresponding to the feature information by using a predetermined hashing function; (c) manage a database to include at least the hash value and the metadata of each of the plurality of video contents; (d) receive object information corresponding to an object in a real-world environment from a user terminal through the communication interface; (e) search the database based on the object information and select a video content corresponding to the object information from among the plurality of video contents; and (f) transmit the metadata of the selected video content to the user terminal through the communication interface.

In an example, a first set of text may be received from a client device. A set of content items may be selected from among content items based upon the first set of text and a plurality of sets of content item text associated with the content items. A set of terms may be determined based upon the first set of text and the set of content items. A similarity profile associated with the set of terms may be generated. The similarity profile is indicative of similarity scores associated with similarities between terms of the set of terms. Relevance scores associated with the set of terms may be determined based upon the similarity profile. One or more search terms may be selected from among the set of terms based upon the relevance scores. A search may be performed based upon the one or more search terms.

An online system generates a cluster group and uses membership in the cluster group as an eligibility criteria for presenting a content item. The online system receives a request from a third party system to present the content item. The online system also receives identification information about users who have visited webpages associated with the third party system and descriptive information associated with the webpages. Based on the descriptive information, the online system extracts tags for the webpages and classifies the webpages into one or more categories that include a category associated with the content item. The online system generates a seed group that includes users who visited webpages in the category associated with the content item. The online system further expands the seed group to a cluster group by applying a cluster model to one or more characteristics of each candidate user not included in the seed group.

An online system generates a cluster group and uses membership in the cluster group as an eligibility criteria for presenting a content item. The online system receives a request from a third party system to present the content item. The online system also receives identification information about users who have visited webpages associated with the third party system and descriptive information associated with the webpages. Based on the descriptive information, the online system extracts tags for the webpages and classifies the webpages into one or more categories that include a category associated with the content item. The online system generates a seed group that includes users who visited webpages in the category associated with the content item. The online system further expands the seed group to a cluster group by applying a cluster model to one or more characteristics of each candidate user not included in the seed group.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, modifying queries based on non-textual content. In one aspect, a method includes receiving, from a user device, a query including a plurality of terms; determining active non-textual data displayed in an application environment on the user device; determining, from the non-textual textual data, modification data for the query; generating a set of modified queries based on the query and the modification parameters; scoring the modified queries according to one or more scoring criteria; selecting one of the modified queries based on the scoring; and providing, to the user device, search results responsive to the selected modified query.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate artificial intelligence (AI)-assisted curation of non-pharmaceutical intervention (NPI) data from heterogeneous data sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component and a change detection component. The extraction component can extract candidate non-pharmaceutical intervention (NPI) events from data associated with a defined disease. The change detection component can evaluate the candidate NPI events for inclusion in a dataset storing NPI events in a defined format.