Abstract: Within a video frame, elements are identified. A graph is constructed for a portion of video content including the video frame. Using the graph and an excitement level corresponding to an element in the plurality of elements, the video frame is divided into an alterable region and an unalterable region. By solving an optimization problem, a compute resource and a rendering application are selected, the compute resource represented by a runtime feature vector encoding a plurality of features describing execution of the rendering application on the compute resource. Using the compute resource and the rendering application, a background image corresponding to the alterable region is rendered. The unalterable region and the background image are combined into a rendered video frame, the rendered video frame replacing the video frame within the portion of video content.

Abstract: Various embodiments are provided herein for implementing multiple thread scenes in a computing environment virtualized metaverse. A multi-layered thread to be instanced in the virtualized metaverse is developed. A main thread scene, and a virtualized avatar that is projected in the main thread scene, is developed. The creation and merger of the main thread scene with other thread scenes featuring the virtualized avatar throughout the multi-layered thread according to a predetermined methodology or overall theme, is enabled.

Abstract: A method for extending the range of a delivery drone is disclosed. In one embodiment, such a method includes enabling a customer of a supply chain provider to selectively include a drone charging station of the customer in a drone charging network of the supply chain provider. The method gathers parameters associated with the drone charging station and updates a drone charging map of the supply chain provider to include the drone charging station and its associated parameters. The method further generates, on behalf of the supply chain provider, a delivery plan that utilizes the drone charging station included in the drone charging network. The customer is compensated, by the supply chain provider, for utilization of the drone charging station in executing the delivery plan. A corresponding system and computer program product are also disclosed.

Abstract: A method for detecting conflation errors in an augmented reality interface is disclosed. In one embodiment, such a method includes receiving an actual screenshot of an augmented reality interface. The method generates, using a generative adversarial network (GAN), a replica screenshot of the augmented reality interface that indicates how the actual screenshot is expected to appear. The replica screenshot is non-identical to the actual screenshot. The method receives the actual screenshot and the replica screenshot into a fractal-based convolutional neural network (CNN) to determine a correlation between the actual screenshot and the replica screenshot. In the event the correlation is below a designated threshold, the method flags the actual screenshot as having a potential conflation error. This conflation error may involve conflating a digital component for a physical component or vice versa. A corresponding system and computer program product are also disclosed.

Abstract: An apparatus used for analysis of a fluid-based system that includes a main chamber consisting of an optically transparent high strength material that ensures transmission of infrared and ultraviolet wavelengths and is capable of withstanding high pressures. The apparatus also includes first and second fluid tight endcaps attached to first and second ends of the main chamber, wherein the first endcap permits entry of a fluid into the main chamber and the second endcap permits the fluid to exit the main chamber. The apparatus further includes a fixed filter guide rail located inside the main chamber and attached to one of the end caps, and a filter located inside the main chamber and configured to removably attach to the fixed filter guide rail, wherein the filter is capable of capturing residue or contaminants in the fluid.

Abstract: An integrated circuit includes a field effect transistor (FET) and a phase change memory (PCM) cell. The PCM cell includes a heater, wherein a bottom surface of the heater is at or below a top surface of the FET.

Abstract: An example operation may include one or more of receiving, via a user interface, a feature set, querying a repository of application programming interfaces (APIs) to identify an API in the repository that corresponds to the received feature set based on a comparison of features in the feature set to features of the API stored in the repository, identifying criteria of the identified API that is published in the repository, and displaying a recommendation with the identified API including the identified criteria of the identified API via the user interface.

Abstract: A computer-implemented method, a computer program product, and a computer system for reflecting metadata annotated in crawled documents to original data sources. In response to one or more internal documents in an application being annotated with metadata, the computer system converts a metadata format handled in the application to a metadata format handled in one or more data sources. The computer system posts, to one or more original documents in the one or more data sources, the metadata in the metadata format handled in the one or more data sources.

Abstract: An approach to harvesting electrical energy from a user blinking is disclosed. The approach uses an apparatus that includes a piezoelectric film attaching to a user's eyelid, a wire connecting the piezoelectric film to an electronic component; and an antenna surrounding an eye of the user connecting to the electronic component. The approach includes harvesting electrical energy from a user blinking with the piezoelectric film and the antenna wirelessly transmitting the electrical energy to smart contact lens worn by the user.

Abstract: A method, system and apparatus for provisioning a computation into a trusted execution environment, including verifying the trusted execution environment, generating integrity information of the computation, generating sealed data, sending information of the computation, the sealed data, and integrity information to the trusted execution environment, confirming the sealed data, and verifying integrity of the computation information from the integrity information and the computation information.

Abstract: A tunable nonvolatile resistive element, wherein the device conductance is modulated by changing the length of a contact between a phase change material and a resistive liner. By choosing the contact length to be less than the transfer length a linear modulation of the conductance is obtained.

Abstract: A method, including: identifying static application features of an application; identifying resource access features of the application; labeling a translation lookaside buffer (TLB) miss threshold of a runtime feature of the application; determining utilization of larger pages during the runtime based on the TLB miss threshold; and setting the TLB miss threshold based on the determined utilization of the larger pages.

Abstract: Mechanisms are provided for processing a sequential database natural language query. A process model is preprocessed to generate mapping data structure(s). The mapping data structure(s) map elements of the sequential process to other elements of the sequential process to thereby identify sequential and dependent characteristics of the sequential process. A sequential database natural language (SDNL) query interpretation engine is configured with the mapping data structure(s) and natural language processing is performed on a query to generate extracted features. The configured SDNL query interpretation engine operates on the extracted features and the mapping data structure(s) to generate intent information for the query. Executable database queries are generated based on the intent and executed on a database to return a response to the query.

Abstract: Techniques for verifying the identity of users transferring between devices are disclosed. An example method includes receiving device usage data by monitoring user-device interactions of a first set of users interacting with a first device and a second set of users interacting with a second device. The method also includes extracting features from the data and aggregating feature samples from the user-device interactions for first set of users and the second set of users. The method also includes generating a score for each feature based on an analysis the feature samples. The feature score indicates a degree to which the first set of feature samples and the second set of feature samples differentiate between the devices. The method also includes identifying features as transferrable if the score is below a specified threshold, and generating a new behavior model by modifying existing user behavior data according to the transferrable features.

Abstract: An example operation may include one or more of receiving a request to modify a reliability value of an off-chain data source to generate a modified reliability value, determining whether a consensus on the modified reliability value has been received among a plurality of peer nodes, and in response to a determination that the consensus has been received, updating a storage to reflect the modified reliability value associated with the off-chain data source, and storing an identification of the modified reliability value within a block among a hash-linked chain of blocks on a distributed ledger shared among the plurality of peer nodes.

Abstract: Provided are computer program product, system, and method for using a machine learning module to determine a group of execution paths of program code and a computational resource allocation to use to execute the group of execution paths. Information on activity steps in program code and a system load of a system in which the program code is executed are provided as inputs to a resource allocation machine learning module. The resource allocation machine learning module processes the provided inputs to output computational resource allocations for execution paths of activity steps in the program code to execute in parallel, including memory and processing resource allocations optimized according to an optimization criteria. The outputted computational resource allocations are allocated to execute the activity steps in the execution paths in parallel.

Abstract: System and method herein interpret results of a semantic clustering Structured Query Language (SQL) Cognitive Intelligence (CI) query by identifying dominant traits of a query input to determine a ranking of query results by identifying influential tokens of the query input based on data statistics and observing the dominant traits in influential tokens of a query output, wherein the identifying the dominant traits of the query input comprises incorporating co-occurrence measurements.

Abstract: Mechanisms are provided for generating electronic data interchange mapping source code. A source code generator, comprising a machine learning trained neural network computer model, receives input data comprising a source document data structure in a first format and a destination document data structure in a second format, different from the first format. The source code generator processes the input data to generate a source code sequence output vector. A source code is generated that maps contents of source documents in the first format to contents of destination documents in the second format based on the source code sequence output vector. The source code is output to a computing device for execution on other source documents that utilize the first format to thereby automatically generate corresponding destination documents in the second format.

Abstract: In an approach to improve converting conversation to user stories, embodiments capture keywords from a captured discussion, and identify the probability of the keywords being an object attribute or action behavior. Further, responsive to identifying, based on the probability, that the keywords are the object attribute or the action behavior, embodiments determine that the object attribute or the action behavior are not new to a first user story. Additionally, embodiments determine that the attribute or the action behavior are associated with an existing object in a first user story, and update the first user story with the attribute or the action behavior.

Abstract: An instruction that includes an operation code indicating a diagnose operation is obtained and executed within a computing environment. The executing the instruction includes retrieving selected data from a dump save area to be used to restore machine state and restoring the machine state. The restoring includes storing the selected data in a selected location. One or more storage keys used to protect access to the selected data are restored.