Abstract: A method, computer system, and a computer program product for anomaly detection is provided. The present invention may include converting business process logs into a graphical data structure. The present invention may include generating an optimized graph encoding for anomaly detection using an unsupervised machine learning model. The present invention may include computing an anomaly score for each activity of the business process log using a process aware metric based on feature representation. The present invention may include labeling each of the one or more data points with a high anomaly score.

Abstract: Mechanisms are provided to implement a visual analytics pipeline. The mechanisms generate, from an input database of records, a chronology-aware graph data structure of a plurality of records based features specified in an ontology data structure. The chronology-aware graph data structure has vertices representing one or more of events or records based features corresponding to events, and edges representing chronological relationships between events. The mechanisms execute a chronology-aware graph query on the chronology-aware graph data structure to generate a filtered set of vertices and corresponding features corresponding to criteria of the chronology-aware graph query.

Abstract: In response to receiving a request for an identity key from a first entity, an identity key for the first entity is generated. A first request from the first entity to replicate a set of data is received. The generated identity key for the first entity is added to the metadata of the set of data requested to be replicated. A determination is made whether a replication rule exists for the first entity. In response to determining that a replication rule exists for the first entity, the set of data is replicated according to the replication rule for the first entity.

Abstract: Datasets can be synchronized across cloud-based computer environments using computer systems. A data map can be generated for source datasets for a plurality of computing environments, respectively, and an activation function can be determined based on the data map, for simultaneously activating a new dataset of a source system from one of the plurality of computing environments. A generation ID (identification) can be shared from the source system with one or more computing environments of the plurality of the computing environments, in response to receiving the activation function. The new dataset of the source system can be replicated across the one or more computing environments. A data synchronization trigger can be activated, using a synchronization coordinator module of the computer, and the data synchronization can be completed across the plurality of computing environments.

Abstract: Methods for creating a knowledge graph for a video are disclosed. Aspects include obtaining the video, processing the video to extract audio information and video information, and storing the extracted audio information and video information with a timestamp corresponding its occurrence in the video. Aspects also include creating a plurality of groups of the extracted audio information and video information based at least in part on the timestamps and extracting two or more keywords from each of the plurality of groups. Aspects further include identifying a relationship between the two or more keywords based on the extracted audio information and video information and creating a graph having a plurality of nodes and a plurality of links that connect a pair of nodes of the plurality of nodes. Each node corresponds to an extracted keyword and each link corresponds to the identified relationship between the pair of nodes.

Abstract: An approach for managing data set access based on data set relevance. The approach monitors data set access activities associated with a user. The approach detects access of a first data set by the user. The approach determines a group of data sets associated with the first data set based on a data set mapping associated with the user. The approach recalls one or more data sets of the group of data sets from a slower storage device to a faster storage device.

Abstract: Aspects of the invention include detecting an error alert from a target computer system. In response to detecting the error alert, performance data is then retrieved from the target computer system. A gated recurrent unit (GRU) neural network is used to generate a prediction of a root cause of the error alert based on the performance data. The weights of a reset gate of the GRU neural network are adjusted based on received feedback of the prediction.

Abstract: An example system includes a processor that can receive conversation logs of a dialogue system to be analyzed. The processor can train a predictive machine learning model using a training set of the conversation logs on a selected feature to obtain feature values with associated importance values. The processor can select a number of feature values using a significance score calculated based on the associated importance values. The processor can generate an interactive user interface including the selected number of feature values.

Abstract: Mechanisms are provided to improve an output of a trained machine learning (ML) computer model based on label co-occurrence statistics. For a corpus, label vector representations of the knowledge data structures are generated. Co-occurrence scores for each pairing of labels, across the label vector representations, are generated. A vector output of the ML computer model is received and a knowledge driven reasoning (KDR) computer model is configured with threshold(s) and delta value(s) specifying condition(s) of a co-occurrence of a first label in the output with a second label in the plurality of labels which, if present, causes the delta value(s) to be applied to modify a probability value associated with the second label in the output of the ML computer model. The KDR computer model is executed on the output of the ML computer model to modify probability value(s) in the output.

Abstract: A method, computer system, and a computer program product for securing visible data is provided. The present invention may include encrypting an on-screen data rendered on a display of an endpoint device. The present invention may also include authenticating an external decryption device within a periphery defined by the endpoint device. The present invention may further include decrypting the encrypted on-screen data on the authenticated external decryption device.

Abstract: Mechanisms are provided to generate a test dataset for software application development. A baseline mixed reality (MR) environment simulation of an existing process is generated that models applications of an application landscape. A requirement for an application that is to be developed is received and a MR component model is generated to represent the application based on a machine learning computer model processing of the requirements data structure and a knowledge corpus. The MR component model modifies the baseline MR environment simulation, and executes the modified MR environment simulation to simulate the modified MR environment simulation. The simulation is monitored for user input specifying a contextual scenario and context data is collected from the MR component models of the modified MR environment simulation. A test dataset for testing a coded version of the SUD application is generated based on the contextual scenario and the collected data.

Abstract: Techniques for generating a set of Deep Learning (DL) models are described. An example method includes training an initial set of DL models using the training data, wherein a topology of each of the DL models is determined based on the parameters vector. The method also includes generating a set of estimate performance functions for each of the DL models in the initial set based on the set of edge-related metrics, and generating a plurality of objective functions based on the set of estimated performance functions. The method also includes generating a final DL model set based on the objective functions, receiving a user selection of a selected DL model from the final DL model set, and deploying the selected DL model to an edge device.

Abstract: A marking onto a collaboration board, located in a first location, is detected. The marking includes the creation of one or more content elements on the collaboration board. Responsive to detecting the markings one or more content elements on the collaboration board are analyzed. A first content element of the one or more content elements is classified based on analyzing the one or more content elements. The first content element is classified as a first privileged content element. The first location of the collaboration board is scanned. The scanning is based on the classifying of the first privileged content element. An unauthorized person is identified based on scanning the first location. The unauthorized person is not permitted to view the collaboration board. A security response is performed on the collaboration board regarding the one or more content elements. The security response is performed responsive to identifying the unauthorized person.

Abstract: Revising a delivery route for a user based on, at least, identified disruptions is provided. A computer device identifies delivery parameters for a delivery, wherein the delivery parameters include (i) a delivery route from a shipping location to a delivery location, and (ii) one or more delivery constraints. The computing device displays the delivery route on a graphical user interface (GUI), wherein the GUI is configured to be interacted with by one or more users. The computing devices receives from a user via the GUI, a definition of an environmental disruption. The computing device generates a revised delivery route, wherein the revised delivery route modifies the delivery route to avoid the environmental disruption while satisfying the one or more delivery constraints. The computing device displays the revised delivery route on the GUI.

Abstract: Systems, computer-implemented methods, and computer program products that facilitate vulnerability and attack technique association are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a map component that defines mappings between vulnerability data representing a vulnerability of a computing resource and attack data representing at least one attack technique. The computer executable components can further comprise an estimation component that analyzes the mappings to estimate a probability that the vulnerability will be exploited to attack the computing resource.

Abstract: A computer-implemented method and a computer system establish network slices within a physical network having a plurality of network elements. The method includes receiving a request to instantiate a network slice at a network element. The method also includes determining a performance metric of the network element. The method further includes delaying instantiation of the requested network slice within the network element in response to determining that the performance metric of the network element is below a threshold. The method also includes instantiating the requested network slice within the network element in response to determining that the performance metric of the network element is at or above the threshold. Finally, the method includes deactivating the requested network slice in response to determining that the performance metric of the network element is below the threshold at a time subsequent to instantiating the requested network slice.

Abstract: One or more computer processors establish a geofence surrounding a display having a plurality of pixels capable of change based on one or more display capabilities. The one or more computer processors monitor for a change in at least one pixel of the plurality of pixels. The one or more computer processors identify a photosensitive user within the established geofence. The one or more computer processors responsive to the at least one pixel change associated with the display, calculate a photosensitivity score utilizing a model trained for one or more photosensitive conditions associated with the photosensitive user. The one or more computer processors adjust the display to show a change on the at least one pixel based on the calculated photosensitivity score.

Abstract: Deployment updates in multivendor cloud environments are provided by obtaining, from an administrative user, deployment objectives for a network deployment; identifying currently deployed infrastructure in the network deployment; identifying information sources to provide information for evaluating candidates for additional infrastructure to include in the network deployment to meet the deployment objectives; performing a cognitive computing analysis based on the deployment objectives to identify a configuration of the network deployment that includes the additional infrastructure selected from the candidates provided by the information sources; and providing the administrative user with the configuration.

Abstract: A secure communication tunnel between user space software and a client device can be established. A private session key can be communicated from the user space software to a network communication device via an application programming interface. Outbound session packets can be communicated from the user space software to the network communication device. The network communication device can generate encrypted outbound session packets by encrypting the outbound session packets using the private session key; communicate to the client device, via the secured communication tunnel, the encrypted outbound session packets; receive, by the network communication device from the client device, via the secured communication tunnel, inbound session packets; generate decrypted inbound session packets by decrypting the inbound session packets using the private session key; and communicate the decrypted inbound session packets.

Abstract: An example operation may include one or more of receiving a request for blockchain information from a user device, acquiring blockchain data from a plurality of blockchains which are actively operating and available for joining, determining an amount of trust for each blockchain among the plurality of blockchains based on acquired blockchain data of the respective blockchain, and outputting a list identifying the plurality of blockchains where each blockchain on the list comprises a trust indicator indicating a determined amount of trust for the respective blockchain.

Abstract: In an approach for optimization of integer arithmetic expressions implemented as a Boolean logic circuit, a processor converts arithmetic operators in an arithmetic expression into adders. A processor identifies a topological order of the adders. A processor merges the adders based on the topological order into a multi-operand adder. A processor converts the multi-operand adder to a compressor tree and a two-operand adder. A processor performs the arithmetic expression based on the converted multi-operand adder.

Abstract: An optical module includes an optoelectronic assembly and a heat spreader. The optoelectronic assembly includes a flat, rigid substrate, an array of electrical contacts positioned on a first portion of the substrate, and an optoelectronics assemblage that is electrically connected to the array of contacts and is positioned apart from the array of electrical contacts. The heat spreader is comprised of a thermally conductive material and comprises a second portion that is structurally connected to the first portion and a third portion that is thermally connected to the optoelectronics assemblage.

Abstract: Systems and techniques that facilitate background monitoring of eye health are provided. In various embodiments, a system can comprise a sensor component of a device. In various aspects, the sensor component can detect one or more physical characteristics associated with an entity. In various embodiments, the system can further comprise a diagnostic component of the device. In various instances, the diagnostic component can estimate in a background of the device a health condition of an eye of the entity based on the one or more physical characteristics. In various cases, estimating the health condition in the background of the device can facilitate real-time monitoring of the eye health of the entity without interrupting the entity's normal use of the device.

Abstract: A computer-implemented method is provided that includes accessing candidate text and a candidate pair including first and second phrases, substituting the first and second phrases into cause-effect patterns to generate variant sentences. An artificial intelligence model is leveraged to determine respective probabilities that the variant sentences are inferred from the candidate text, calculate a statistical measure of the respective probabilities, and assess the calculated statistical measure to ascertain whether the first and second phrases possess a causal relationship or non-causal relationship to one another. A knowledge base including one or more pairs of cause-effect phrase pairs is populated with the first and second phrases possessing the causal relationship. A computer system and a computer program product are also provided.

Abstract: An example operation may include one or more of establishing a communication channel between a sending system and a receiving system, executing an oblivious transfer protocol between the sending system and the receiving system via the established communication channel, wherein the oblivious transfer protocol provides the receiving system with a functional encryption key based on a data vector of the receiving system without the sending system learning the data vector, committing to the functional encryption key using a cryptographic commitment and signing the functional encryption key commitment with a digital key of the receiving system, and storing the signed functional encryption key commitment to a blockchain.

Abstract: Techniques regarding discovering configuration information for one or more computer applications are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a configuration component that can discover configuration information associated with a containerized computer application. The configuration information can be characterized by a set of environment attributes extracted by querying a source code of the containerized computer application.

Abstract: A stream computing application may be configured to manage the flow of tuples through a section of an operator graph. A window may be generated over one or more stream operators. The window may include breakpoint thresholds that set the maximum flow of tuples within the window. The stream operators within the window may be monitored to determine the flow of tuples occurring within the window using tuple flow counts. The tuple flow counts may be compared to the breakpoint thresholds to determine whether a breakpoint condition has occurred. If a breakpoint condition has occurred, a tuple flow change may be implemented to reduce the flow of tuples within the window.

Abstract: An approach for managing delivery of packages utilizing one or more vehicles is disclosed. The approach includes loading delivery vehicles in a such a way that, based on contextual need of offloading of the packages from the delivery vehicles, the approach will selectively offload the packages from the delivery vehicle to on-demand warehouse as service location along the route of the delivery vehicle. The delivery vehicles can proactively analyze various contextual situation, and can identify which and how much products are to be off-loaded from the delivery vehicles, and can proactively book warehouse as a service location along with the route of the delivery vehicle so that the products can be transferred from a transportation vehicle to on-demand warehouse as a service location effectively and efficiently.

Abstract: Provided are a computer program product, system, and method for generating a visualization of blocks of code statements related to errors in a log file. A log file logs errors in execution of program code. Source code, from which the program code is compiled, is analyzed to determine blocks of statements in the source code whose execution resulted in the errors in the log file. Blocks of statements in the source code are annotated with the errors in the log file caused by the blocks of statements. Execution of a block of statements annotated with an error resulted in the error logged in the log file. The annotated blocks of statements are processed to generate a video providing a visualization of the blocks of statements in the source code whose execution resulted in the errors.

Abstract: Techniques are described relating to unstructured document processing. An associated computer-implemented method includes identifying a plurality of deduplicated data blocks associated with a collection of unstructured documents. The method further includes sorting the plurality of deduplicated data blocks in descending order based upon at least one block frequency metric, selecting a highest sorted unprocessed deduplicated data block, applying text analytics to the selected deduplicated data block, and applying at least one result of the text analytics to any document among the collection of unstructured documents including the selected deduplicated data block. The method is terminated responsive to satisfaction of at least one stopping condition.

Abstract: Selectively presenting information by generating a dictionary including information categorized as sensitive according to a participant's characteristic, generating a display matrix including display rules according to the participant's characteristics, detecting sensitive data in a presentation stream, determining display coordinates for the sensitive data, determining a presentation status for the sensitive data according to the participant's characteristics, the dictionary, the decision tree and the display matrix, and masking the presentation of the sensitive information according to the presentation status and the display coordinates.

Abstract: Methods, computer program products, and/or systems are provided that perform the following operations: determining a pacing requirement for host requests based on one or more thresholds; setting a pacing delay level based on the one or more thresholds in response to the determination of the pacing requirement; and implementing a memory request flow for a host request based on the pacing requirement and the pacing delay level.

Abstract: Systems, computer-implemented methods, and computer program products to aggregate classifier result are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a fractal dividing component that can train classifiers with fractally defined disjoint and non-disjoint subsets of training data comprising data with a first label and data with a second label. Further, the system can include training component that can train the group of classifiers with the fractally defined disjoint and non-disjoint subsets of training data. A fractal aggregating component can be included to generate a unified result of the classifiers by fractally aggregating results of classification by the ones of the classifiers, based on the subsets.

Abstract: A computer-based method, system, and computer program product for automatically identifying significant events for food traceability. The method may comprise receiving a series of events from an agriculture supply chain entity, automatically determining, at a machine learning model of an event analysis module, one or more events in the series having a significance for food traceability greater than a threshold, and automatically reporting the one or more events to a ledger.

Abstract: A computer system controls access to network devices. One or more user interface elements associated with one or more network devices that are within a view of a user are displayed to the user via an augmented reality display. Input from the user is received comprising instructions to execute a command at a network device of the one or more network devices. The user is determined, according to a security policy, to be authorized to execute the command at the network device. In response to determining that the user is authorized to execute the command, the command is executed at the network device. Embodiments of the present invention further include a method and program product for controlling access to network devices in substantially the same manner described above.

Abstract: A computer system accesses a storage device. Contents of an object of a request are sorted. The contents of an object of a request are sorted. A hash key is generated to access information in the storage device based on the sorted contents of the object, wherein objects with non-critical differences are mapped to the same hash key. The information in the storage device is accessed based on the generated hash key to produce a response to the request. Embodiments of the present invention further include a method and program product for accessing a storage device in substantially the same manner described above.

Abstract: Illustrative embodiments provide techniques for fabricating semiconductor structures having bottom isolation and enhanced carrier mobility for both nFET and pFET devices. For example, in one illustrative embodiment, a semiconductor structure includes a semiconductor substrate, a first dielectric layer disposed on the semiconductor substrate, a bottom source/drain region disposed on the first dielectric layer and isolated from the semiconductor substrate by the first dielectric layer, a second dielectric layer disposed on the bottom source/drain region and a top source/drain region disposed on the second dielectric layer and isolated from the bottom source/drain region by the second dielectric layer. The bottom source/drain region comprises a compressive pFET epitaxy and the top source/drain region comprises a tensile nFET epitaxy.

Abstract: A method, a computer program product, and a computer system manage notification settings on a user device within premises. The method includes determining a notification rule to be enforced on the premises for the notification settings to be set on the user device while within the premises. The method includes determining a location and a defined surrounding within the premises for managing the notification settings on the user device, the notification rule being based on the defined surrounding. The method includes determining a user device location of the user device within the premises. The method includes determining whether the user device location is within the defined surrounding. The method includes, as a result of the user device location being within the defined surrounding, transmitting instructions indicative of the notification rule to the user device to set the notification settings on the user device based on the notification rule.

Abstract: A computer-implemented method, an apparatus, and a computer program product for edge node autonomy. For a first edge node of a plurality of edge nodes in a federation in a distributed computing framework, one or more processors receive a request to be sent to a central node in the distributed computing framework. The one or more processors determine whether the federation is connected to the central node. In response to determining that the federation is not connected to the central node, the one or more processors determine whether a controller capable of processing the request is available in the federation. In response to determining that the controller capable of processing the request is available in the federation, the one or more processors notify the controller to process the request.

Abstract: An interconnect structure is provided. The interconnect structure includes first conducting lines and second conducting lines. The first conducting lines are formed of a first metallic material and include at least one individual first conducting line in contact with a first corresponding substrate conducting line. The second conducting lines are formed of a second metallic material and include at least one individual second conducting line between neighboring first conducting lines and in contact with a second corresponding substrate conducting line. The at least one individual second conducting line is separated from each of the neighboring first conducting lines by controlled distances.

Abstract: A burn-in resilient integrated circuit is provided. The burn-in resilient integrated circuit includes an inverter chain and a plurality of inverter circuits on the inverter chain. The burn-in resilient integrated circuit also includes a loop providing an electrical connection from an output of the inverter chain to an input of the inverter chain. The loop is selectable in accordance with a burn-in operation.

Abstract: Embodiments include predictive antenna diode insertion. Aspects of the invention include obtaining a design of a macro, the design including an internal pin disposed on a first layer of the macro. Aspects of the invention also include determining a length of a wire needed to connect the internal pin to a furthest edge of the macro for each of two layers above the layer the internal pin. Aspects of the invention further include adding, to the design of the macro, an antenna diode to the internal pin based on the determination that an area of the wire needed exceeds a threshold value, wherein the area of the wire is based on the length and a width of the wire.

Abstract: Examples described herein provide a computer-implemented method that includes training a machine learning model. The model is trained by generating a set of training queries using at least one of a query workload and relationships between tables in a database, building a query graph for each of the set of training queries, computing, for each training query of the set of training queries, a selectivity based at least in part on the query graph, and building, based at least in part on the set of training queries, an initial join result distribution as a collection of query graphs.

Abstract: In an approach to enhancing server virtualization through host sessions by re-screening a remote desktop session of a target virtual machine. Embodiments, identify, on a computer system, an open remote desktop window corresponding to the remote desktop session, and determine, by the computer system, whether one or more second remote desktop windows are embedded in the open remote desktop window. Further, embodiments identify, from the one or more second remote desktop windows, a target remote desktop window associated with the target virtual machine and generate an overlay on the open remote desktop window based on the identification of the target remote desktop window associated with the target virtual machine. Additionally, embodiments capture activity on a remote desktop screen associated with the generated overlay, and executes the captured activity on the generated overlay.

Abstract: Recommending database access patterns for transactions in microservices is provided. A recommendation of a particular database access pattern to improve access by transactions to data in fields of tables in a database corresponding to a microservice is generated based on analysis of field access graphs for the tables accessed by the transactions. The recommendation of the particular database access pattern is output. The particular database access pattern is implemented to improve access by the transactions to the data in the fields of the tables in the database corresponding to the microservice to improve performance of the microservice based on user input and read view implementation guidance.

Abstract: A method, computer system, and a computer program product for online posting annotation is provided. The present invention may include identifying a topic in an online posting. The present invention may include determining that a comment to the online posting relates to the online posting. The present invention may include adding at least one detail from the comment to the online posting. The present invention may include tagging the at least one added detail with at least one piece of metadata. The present invention may include validating a viewing access based on the at least one piece of metadata and displaying an amended online posting.

Abstract: An embodiment includes building a hierarchical data structure using a hybrid hierarchical clustering process. The hybrid hierarchical clustering process comprises one or more iterations of a level-building process. An embodiment of the level-building process comprises building, by a classical processor, a first parent level of a current uppermost level of the hierarchical data structure by clustering classically-encoded clusters of the current uppermost level. The embodiment of the level-building process also comprises identifying, by a quantum processor, a set of candidate clustering options for clustering quantum-encoded clusters of the current uppermost level for a second parent level, including forming each of the set of candidate clustering options in parallel using respective different quantum encoding spaces. The embodiment of the level-building process also comprises building, by the classical processor, the second parent level based on a subset of the candidate clustering options.

Abstract: An approach for representing both positive and negative weights in neuromorphic computing is disclosed. The approach leverages a double gate FeFET (ferroelectric field effect transistor) device. The device leverages a double-gate FeFET with four terminals (two separate gates and source and drain) and ferroelectric gate dielectric. The device may have a junction-less channel. A synaptic weight is programmed by biasing one of the two gates. The store weight is sensed via a current flow from source to drain. A pre-defined bias is applied to the other gate during the sensing, such that a reference current is subtracted from the drain current. The net current for sensing is current from the synaptic devices subtracted by the pre-defined reference current.

Abstract: A method, system and apparatus for protecting against out-of-bounds references, including storing an address of a buffer in a general register and storing bounds information (BI) for the buffer in a bounds information register, and when a content of the general register is used as an address in a load or store operation, using a content of the bounds information register to determine if the load or store is out of bounds.

Abstract: According to at least one embodiment, a method, computer system, and computer program product for model-driven extraction of event data by a computational device is provided. The present invention may include transforming event data of an event occurring on a blockchain network using an event schema to comply with a data model of an external data structure; mapping, based on the event schema and the data model, the event data to a logical structure of the external data structure; and loading the transformed event data to the external data structure to modify a data content of the external data structure based on the mapping.