Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: attain, via a network, a subscription with an intermediary of another datacenter; provide, via the network, a request for a software product to the other datacenter; open a network communication connection with the intermediary; receive a message associated with the software product from the intermediary; close the network communication connection; receive an image associated with the software product from the other datacenter; instantiate the image as an instantiated image; determine if a first repository of the first datacenter stores a package associated with the software product; if so, retrieve the package from the first repository; if not, receive the package from a second repository of the other datacenter via the network; and install, by the instantiated image, the software product from the package on a target information handling system.

Abstract: Disclosed are various approaches for providing a natural language interface for searching databases. A natural language query is parsed to identify a plurality of tokens. At least one operator is identified with a machine-learning model based at least in part on the plurality of tokens. Next, at least one attribute and at least one respective attribute value are identified with a machine-learning model based at least in part on the plurality of tokens. Then, at least one constraint is identified with a machine-learning model based at least in part on the plurality of tokens. Finally, a machine language query is generated based at least in part on the at least one operator, the constraint(s), the attribute(s), and the respective attribute value(s).

Abstract: Provided are methods for forming polymer-infiltrated nanoparticle films by using capillary action to draw mobile molecular chains into the pores of a bed of nanoparticles. The chains can spread across the entire bed of nanoparticles. The disclosed methods also provide the formation of patterned polymer-infiltrated nanoparticle film compositions, as well as laterally graded compositions and compositions that feature a polymer gradient through the composition's thickness. Articles can be formed that include a plurality of polymer types infiltrated into the bed of nanoparticles.

Abstract: Disclosed are various approaches for providing a natural language interface for searching databases. A natural language query is parsed to identify a plurality of tokens. At least one operator is identified with a machine-learning model based at least in part on the plurality of tokens. Next, at least one attribute and at least one respective attribute value are identified with a machine-learning model based at least in part on the plurality of tokens. Then, at least one constraint is identified with a machine-learning model based at least in part on the plurality of tokens. Finally, a machine language query is generated based at least in part on the at least one operator, the constraint(s), the attribute(s), and the respective attribute value(s).

Abstract: Data is stored that defines a user lifecycle phase and a desired outcome for the user lifecycle phase. Metrics are computed for evaluating the individual effectiveness of each of the messages in a set of messages. Personalization rules can be generated for a particular user that are based on the computed metrics and attributes associated with the particular user. The personalization rules are rules for selecting messages from the set of messages for presentation to the particular user. The personalization rules can be provided to a computing device associated with the particular user. The computing device can utilize the personalization rules to select a message from the set of messages and present the selected message to the user.

Abstract: A number of attributes of different attribute types, to be used to assign observation records of a data set to clusters, are identified. Attribute-type-specific distance metrics for the attributes, which can be combined to obtain a normalized aggregated distance of an observation record from a cluster representative, are selected. One or more iterations of a selected clustering methodology are implemented on the data set using resources of a machine learning service until targeted termination criteria are met. A given iteration includes assigning the observations to clusters of a current version of a clustering model based on the aggregated distances from the cluster representatives of the current version, and updating the cluster representatives to generate a new version of the clustering model.

Abstract: An approximate data structure to represent clusters of observation records of a data set is identified. A hierarchical representation of a plurality of clusters, including the targeted number of clusters among which the observation records are to be distributed, is generated. Each node of the hierarchy comprises an instance of the approximate data structure. Until a set of termination criteria are met, iterations of a selected clustering methodology are run. In a given iteration, distances of observation records from the cluster representatives of a current version of the model are computed using the hierarchical representation, and a new version of the model with modified cluster representatives is generated.