Abstract: Masking a route by determining a first location of a first user, receiving destination data for the first user, generating a plurality of map segments according to the first location and the destination data, presenting a first map segment to a second user, determining a second location of the first user, and presenting a second map segment to the second user according to the second location.

Abstract: A system, platform, computer program product, and/or method for managing UAV resources is disclosed that includes: receiving UAV specifications to provision one or more UAVs; converting the UAV specifications to UAV specification metadata; transforming the UAV specification metadata to UAV configuration metadata to configure UAV software for the one or more UAVs; and configuring, using the UAV configuration metadata, the UAV software for the one or more UAVs. The system, platform, program product, and method can further include assembling, using the UAV configuration metadata, the UAV hardware of the one or more UAVs; deploying the one or more UAVs from a base location to a new location; transferring control over operation of the one or more UAVs to a third-party operator; creating and configuring a network connection to the one or more UAVs; and/or remotely logging into an operating system of the one or more UAVs.

Abstract: A processor may segment a media key block into two or more subsets. Each of the two or more subsets may be respectively associated with a particular group of receivers, and each receiver of the particular group of receivers may be in a blockchain network. The processor may receive, from a first receiver, a request for permission to process the media key block. The processor may identify which of the two or more subsets that the first receiver is associated. The processor may provide a media key block value to the first receiver.

Abstract: VFET devices having symmetric, sharp channel-to-source/drain junctions and techniques for fabrication thereof using a late source/drain epitaxy process are provided. In one aspect, a VFET device includes: at least one vertical fin channel disposed on a substrate; a gate stack alongside the at least one vertical fin channel; a bottom source/drain region directly below the at least one vertical fin channel having, for example, an inverted T-shape with a flat bottom; and a top source/drain region over the at least one vertical fin channel. A method of fabricating a VFET device is also provided.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: obtaining video data; dividing the video data into a plurality of video fragments based, at least in part, on page detection; extracting one or more elements from each of the plurality of video fragments; determining element type data for each of the one or more extracted elements; generating element style data for the one or more extracted elements; determining page flow for the plurality of video fragments; and generating one or more pages based, at least in part, on the one or more elements extracted from the plurality of video fragments, the element type data, the element style data, and the page flow.

Abstract: Methods, systems, and computer program products for service-to-service scheduling in container orchestrators are provided herein. A computer-implemented method includes reserving, by a network orchestrator, network resources requested between a plurality of services, wherein each of the services is implemented as one or more replicas running on a set of nodes of a cluster, managed by the network orchestrator, that use the network resources to serve incoming requests to the plurality services; monitoring utilization of the network resources; and scheduling, by the network orchestrator based on the monitoring, one or more new replicas of the plurality of services and the incoming requests to the plurality of services in a collaborative manner to increase at least one network performance characteristic.

Abstract: A computer-implemented method, according to one implementation, includes: monitoring requests received for an AI interface prompt in real-time, and determining whether one or more of the requests violate compliance metrics. Risk scores are calculated for requests determined as violating the compliance metrics. The requests determined as violating the compliance metrics are updated by implementing protective measures correlated with the calculated risk scores. Moreover, the updated requests are sent to the AI interface prompt.

Abstract: One or more systems, devices, or methods of use provided herein relate to a process of long-range coupling qubits in a quantum computing device with energy loss protection. A system can comprise a first transmon coupler capable of selectively coupling a first tunable coupler qubit to a first fluxonium qubit; a second transmon coupler capable of selectively coupling a second tunable coupler qubit to a second fluxonium qubit. Additionally, in one or more embodiments, the system can include a long-range coupler capable of selectively coupling the first fluxonium qubit to the second fluxonium qubit. The first transmon coupler can be coupled to a first B mode of the first tunable coupler qubit, and the second transmon coupler can be coupled to a second B mode of the second tunable coupler qubit.

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 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: 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: 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: 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: 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: A computer-implemented method for automatically pairing two devices is disclosed. The computer-implemented method includes detecting a first type of movement from a first device. The computer-implemented method further includes determining that the first device is located within a threshold distance of a second device when the first type of movement from the first device is detected. The computer-implemented method further includes determining whether an auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices. The computer-implemented method further includes, responsive to determining that the auto-pairing policy matches the first type of movement from the first device and the threshold distance between the first and second devices, automatically pairing the first device and the second device.

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: Multimedia stream enhancement includes automatically analyzing a multimedia stream and identifying items of interest therein, building metadata, about the stream, that describes the identified items of interest and includes indications of each item of interest and a respective location of that item of interest, providing, by a stream producer device, the stream and the metadata to stream consumer devices, receiving feedback from at least one stream consumer device as the stream producer device provides the stream to the at least one stream consumer device, and using the feedback to generate updated metadata about the stream for provision to one or more stream consumer devices of the stream consumer devices.

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.