Abstract: By analyzing first configuration data of a set of sensors, a first configuration of the set of sensors is measured. A set of permutations of the first configuration is generated. For each permutation in the set of permutations, a corresponding set of virtual sensor data is generated. Using an analysis on each set of virtual sensor data and a set of real sensor data obtained using the first configuration, a corresponding analysis result is caused to be determined. Using the quality measure, a configuration producing a highest quality analysis result is determined. A contextual situation and the configuration are stored as a sensor configuration rule. By analyzing second configuration data of the set of sensors, a second configuration of the set of sensors is measured. The second configuration is adjusted according to the configuration specified in the sensor configuration rule.

Abstract: A method for storing metadata and a configuration schema for each of a plurality of capabilities, and storing a plurality of catalogs, each catalog identifying the metadata and configuration schema associated with at least one of the plurality of capabilities. The method also includes receiving a request for implementation of one of the plurality of capabilities on a pluggable system, and associating, by a lifecycle manager and based on a catalog of the plurality of catalogs related to the request, the metadata and configuration schema related to the requested one of the plurality of capabilities with a domain specific capabilities controller compatible with the pluggable system.

Abstract: Using a first dataset of labeled data, a model is trained by adjusting a feature extractor parameter, a classifier parameter, and a discriminator parameter of the model. Using the discriminator parameter and a parametric function of the feature extractor parameter, a plurality of samples of a dataset of unlabeled data is scored. A subset of the scored plurality of samples is selected for labeling. Responsive to receiving a label of each of the selected subset of the scored plurality of samples, the first dataset of labeled data is augmented with the selected subset of the scored plurality of samples and the label of each of the selected subset of the scored plurality of samples. Using the augmented dataset of labeled data, the model is retrained. The retraining comprises further adjusting the feature extractor parameter, the classifier parameter, and the discriminator parameter of the model.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can dynamically generate audio for one or more images associated with a location based on contextual information that satisfies a request. Embodiments of the present invention can embed the generated audio into the one or more images. Embodiments of the present invention can then display the one or more images with the embedded audio on a user device.

Abstract: Provided are techniques for mode-specific search query processing. A current search query is received from a user, where the user has a user profile, and where the user profile has a public portion and a private portion. A query mode and a query context for the current search query are determined. In response to determining that the query mode is a guided mode, the current search query is rewritten based on the query context, the private portion of the user profile of the user, and the public portion of each corresponding user profile of each of one or more search influencers to generate a first rewritten search query; the first rewritten search query is executed to generate first search results; and the first search results are returned.

Abstract: A computer-implemented method, system and computer program product for optimizing a flow of data within transform, load (ETL) data processing pipelines. Database columns from a source database that are to be transformed as well as not transformed in the data processing stages of a processing segment of an ETL data processing pipeline are identified. Those database columns that are to be transformed are grouped into a processing schema. Transformations are then performed on the database columns of the processing schema. Those database columns that are not to be transformed are grouped into a non-processing schema. A large object data type (LOB) is then created to reference the non-processing schema. An identifier is created and inserted in the data processing stages to identify the LOB in replace of the database columns that are not to be transformed thereby avoiding the copying of the database columns that are not to be transformed.

Abstract: Described aspects include a system for optimizing performance of a functional circuit unit, a method of optimizing performance of a functional circuit unit, and a computer program product. In one embodiment, the system may include a functional circuit unit having an associated cooling device and power converter, one or more sensors for the functional circuit unit, the one or more sensors including a power sensor and a temperature sensor, and a first machine learning model. The first machine learning model may be adapted to receive temperature data and power data from the one or more sensors, and to generate control signals for the cooling device and the power converter to optimize performance of the functional circuit unit.

Abstract: Embodiments for a single user truck loader. A platform is configured to receive placement of a load. Wheels are disposed at locations of the platform. A dolly mechanism is disposed in a cavity formed in the platform. Sidewalls of the platform house the cavity. The cavity of the platform is configured to receive a lift deck of a lifting mechanism.

Abstract: Embodiments of the invention are directed to data replication in an active-active databases having a source site and a target site. Aspects include creating a subscription activation message in a capture address space, the subscription activation message having a timestamp after a latest committed timestamp of the active-active databases and transmitting the subscription activation message to a subscription activation module of the target site of the active-active databases. Based on a determination that one or more tables associated with the subscription activation message are inactive, aspects also include repairing the one or more tables. Based on a determination that all tables associated with the subscription activation message are active, aspects include initiate replication of the capture address space from the source site to the target site with a timestamp of the latest committed timestamp.

Abstract: An apparatus includes a first plate, a second plate, a third plate, a ferroelectric dielectric, and a paraelectric dielectric. The ferroelectric dielectric is between the first plate and the second plate such that the first plate, the ferroelectric dielectric, and the second plate form a first capacitor. The paraelectric dielectric is between the second plate and the third plate such that the second plate, the paraelectric dielectric, and the third plate form a second capacitor.

Abstract: A stream of tuples is processed by a stream application. The stream application includes a plurality of processing elements that operate on one or more compute nodes, each processing element includes one or more stream operators. One or more databases that are capable of communicating with the stream application are monitored during the processing of the stream of tuples. A potential performance condition of a first database of the one or more databases is detected based on the monitoring. An output adjustment is performed, in response to the potential performance condition.

Abstract: A computer answers a question using a data table. The computer receives a user question and a target table containing a target cell corresponding to a target answer for the user question, with the target cell corresponding to a target column and a target row. The computer generates, a first classifier to provide column correlation values reflecting the probability that a given column is the target column. The computer generates a second classifier that provides row correlation values reflecting the probability that a given row is the target row. The computer applies the first classifier to the target table to determine a column correlation value for each column. The computer applies the second classifier to the target table to determine a row correlation value for each row. The computer suggests, as the target cell, a cell having elevated column and row correlation values relative to other target table cells.

Abstract: An artificial intelligence (AI) interaction method, system, and computer program product include selecting an artificial intelligence model to respond to a query to generating a response to the query using the selected artificial intelligence model, and receiving the response to the query from the selected artificial intelligence model.

Abstract: A system may include a memory and a processor in communication with the memory. The processor may be configured to perform operations that include generating a key pair and encrypting a data credential with a public key to make a data credential secret. The operations may further include storing the data credential secret in a cluster on a host and deploying a workload on the cluster. The operations may also include establishing an empty bundle in the host and generating a pod trusted execution environment.

Abstract: In an approach for predicting an optimal system upgrade, a processor detects an upgrade is available for a system of a first user computing device. A processor gathers a set of live data from an environment of the first user computing device using a process mining software. A processor compares the set of live data to a set of historical data stored in a knowledge corpus to identify a second user computing device similar to the first user computing device. Responsive to identifying the second user computing device, a processor performs a pattern recognition to generate one or more critical recommendations associated with the upgrade for the system of the first user computing device. A processor schedules the upgrade for the system of the first user computing device during a period of time, wherein the period of time is scheduled consistent with the one or more critical recommendations.

Abstract: A computer-implemented method according to one embodiment includes receiving a plurality of linguistic expressions (LEs); changing one or more conditions of the plurality of linguistic expressions to create an updated plurality of linguistic expressions, utilizing a visual exploration framework (VEF) that visually presents to a user each of the plurality of linguistic expressions; and including the updated plurality of linguistic expressions in a model used to classify input sentences. According to another embodiment, a computer-implemented method includes receiving (i) a set of linguistic expressions (LEs) and (ii) a set of labeled data as input, where the LEs are logical combinations of predicates learned from the labeled data, and each data point in the labeled data comprises a piece of text and ground-truth labels; presenting the LEs in a visual exploration framework; and allowing a user to sort, filter, subset, and select LEs based on different criteria, utilizing the framework.

Abstract: An apparatus for thermal interface material detection includes a heat dissipating device stack up that includes a heat dissipating device, a thermal interface material, a heat generating component, and a printed circuit board. The heat dissipating device is disposed on the thermal interface material, the thermal interface material is disposed on the heat generating component, and the heat generating component is disposed on the printed circuit board. A channel in a body of the heat dissipating device includes an embedded conductive probe, where a first end of the embedded conductive probe leads to a lower surface of the body of the heat dissipating device and a second end of the embedded conductive probe leads to an upper surface of the body of the heat dissipating device.

Abstract: Systems, computer-implemented methods, and computer program products to facilitate sparse depth completion with semantic mesh deformation optimization in an augmented reality environment are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise a depth completion component that generates a first depth map from an image and sparse depth samples. The computer executable components further comprise a semantic mesh deformation component that performs a semantic mesh deformation process, using the sparse depth samples, to generate a second depth map comprising a defined image accuracy.

Abstract: A system, method, and computer program product for implementing digital script modification is provided. The method includes generating image sequences associated with textual content of a digital story. Multiple contextual dimensions are identified within the textual content and a group of dimensions are selected. The image sequences in combination with the group of dimensions are expanding or contracted and image sequences are altered based on detected interactions with the group of dimensions. Dimensions are extracted from the group of dimensions during presentation of the digital story and a scriptwriter is enabled to modify the dimensions. The image sequences are modified and a hardware interface device is enabled to interact with various image sequences and alter the multiple contextual dimensions. The textual content of the digital story is dynamically altered.

Abstract: A node of the computing environment obtains an exclusive fetch request of a cache line shared by, at least, the node and a manager node of the computing environment. The exclusive fetch request includes a state indication regarding processing of the exclusive fetch request by the manager node. The node processes the exclusive fetch request, based on the state indication included with the exclusive fetch request regarding processing of the exclusive fetch request by the manager node.