Abstract: Provided is a method, computer program product, and drying system for determining a dryness level of a garment. A processor of a controller may receive location data from a position sensor. The location data indicates a position of one or more garments on a drying rack. The processor may register the location of the one or more garments on a virtual map of the drying rack displayed on a user interface of the controller. The processor may receive dryness data for the one or more garments from a moisture sensor. The processor may compare the dryness data to a dryness threshold. In response to the dryness data meeting the dryness threshold, the processor may push a notification to a user.

Abstract: Responsive to determining that a step in an interaction sequence has below a threshold similarity to any step in a set of log sequences, a first log entry is caused to be generated. The first log entry is emitted responsive to execution of the step in the interaction sequence by the software application. Responsive to determining that a starting key action lacks a corresponding ending key action, a second log entry is caused to be generated. The second log entry is emitted responsive to execution of code related to the corresponding ending key action by the software application. Responsive to determining, using a trained anomaly detection model, that a keyword related to an injected fault is not present in resulting fault log data, a third log entry is generated. The third log entry is emitted responsive to execution of code related to the keyword by the software application.

Abstract: Methods, systems, and computer program products for iterative answer and supplemental information extraction for machine reading comprehension are provided herein. A computer-implemented method includes obtaining a user query and items of context information related to the user query; identifying at least one of the items of context information to be used in connection with generating supplemental information by processing the user query and at least a portion of the multiple items of context information; generating the answer using an artificial intelligence-based question answering system; generating a modified version of the user query based on keywords derived from the generated answer and keywords derived from the user query; generating items of supplemental information for the generated answer by processing the modified version of the user query and the at least one identified item of context information; and performing automated actions based on the items of supplemental information.

Abstract: According to one embodiment of the present invention, a system for modifying content associated with an item comprises at least one processor. Features of interest of the item to a plurality of different groups are determined based on user comments produced by members of the plurality of different groups. The members within each group have a common characteristic. The features of interest to each group within the content associated with the item are identified, and the content associated with the item is modified by balancing the features of interest to the plurality of different groups within the content associated with the item. Embodiments of the present invention further include a method and computer program product for modifying content associated with an item in substantially the same manner described above.

Abstract: Embodiments relate to a computer platform to support processing of informational logs and corresponding performance data to detect and mitigate occurrence of anomalous behavior. Metrics are extracted from the informational logs and correlated with performance data, and in an exemplary embodiment golden signal metrics. A window or block of the logs is classified as potential candidates or indicators of anomalous behavior, which in an embodiment is indicative of potential failure or service outage. A control signal is dynamically issued to an operatively coupled device associated with the window or block of logs. The control signal is configured to selectively control a state of a physical device or process controlled by software, with the control directed at mitigating or eliminating the effect(s) of the anomalous behavior.

Abstract: Application-specific prioritization of streaming data replication. Data streamed from connected devices is selectively replicated to data storage clusters based on needs of the applications being served by the data. Data characterization supports prioritized replication processing. Statistical metrics compare streaming data with estimated values to characterize the data for prioritization.

Abstract: A software defined data security level method, computer program product, and data processing system. One embodiment may comprise intercepting, by a processor at a data security layer, an input/output (IO) request from a local software application, wherein the IO request includes a header and a data payload, analyzing, by the processor at the data security layer, the data payload of the IO request relative to a service level agreement (SLA), assigning, by the processor at the data security layer, a security level to the IO request based on the analysis.

Abstract: Provided is a method, system, and computer program product for storing images across multiple distributed computing systems according to image sensitivity. The method comprises identifying an image and analyzing the image to identify sensitive information in the image. The method further comprises splitting the image into a sensitive portion and a non-sensitive portion. The method further comprises storing the sensitive portion of the image in a first distributed computing system and storing the non-sensitive portion of the image in a second distributed computing system.

Abstract: In an approach for bypassing security vulnerable and anomalous devices in a multi-device workflow, a processor monitors behavior and network traffic of a plurality of smart devices within a multi-smart device system. A processor identifies a first smart device of the plurality of smart devices with at least one of a security vulnerability and an anomaly. A processor identifies a multi-smart device workflow that includes the first smart device. A processor identifies a function of the first smart device within the multi-smart device workflow. A processor determines whether an alternative smart device can replace the first smart device within the multi-smart device workflow. Responsive to resolution of the at least one of the security vulnerability and the anomaly, a processor re-establishes the workflow with the first smart device.

Abstract: A method, computer system, and a computer program product for determining micro-insurance premium values is provided. The present invention may include generating a digital twin based on an object identified by a user. The present invention may include modifying the digital twin using data received from the object identified by the user. The present invention may include simulating a performance of the modified digital twin in a plurality of conditions. The present invention may include determining a micro-insurance premium value for the object.

Abstract: A computer-implemented method and a computer system for detecting and preventing distributed data exfiltration attacks. The computer system calculates historical usage statistics for a service, instances of the service, and clients requesting the instances, generates a baseline of normal usage activities for the clients and the instances based on the historical usage statistics, monitors current activities of the clients to build signatures of queries by the clients and signatures of the instances, and correlates the signatures to determine whether a data exfiltration attack is in progress. In response to determining that the data exfiltration attack is in progress, the computer system increases one or more risk scores corresponding to the data exfiltration attack. In response to determining that the one or more risk scores and an overall risk score of the service exceed a predetermined threshold, the computer system generates an alert of the data exfiltration attack.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems. In response to receiving a message, embodiments of the present invention can determine a visibility metric associated with the received message. Embodiments of the present invention can then dynamically create a list of users able to interact with the message based on the determined visibility metric. Embodiments of the present invention can then perform an action based on the dynamically created list.

Abstract: Provided are systems, methods, and media for handling dialogs based on user behavior data. An example method includes receiving an input paragraph having one or more factual sentences, in which each of the one or more factual sentences includes one or more words. Receiving an input question comprising one or more words. Performing word-level gaze prediction on the input paragraph to identify one or more predicted gaze attributes for the input paragraph. Extracting an answer to the input question based, at least in part, on the input paragraph, the input question, and the one or more predicted gaze attributes of the input paragraph. Transmitting the extracted answer.

Abstract: Systems and methods for calculating and displaying implicit popularity of products are disclosed. In embodiments, a computer-implemented method, comprises: determining, by a computing device, a set of consumer actions related to a product based on recorded consumer interaction data, wherein the set of consumer actions comprise a plurality of different physical actions of multiple consumers over a span of time; aggregating, by the computing device, the set of consumer actions by type of physical action over time to produce aggregated action event data; calculating, by the computing device, an implicit popularity number for the product based on the aggregated action event data; and sending, by the computing device, a display category to a product display device associated with the product based on the implicit popularity number, wherein the display category represents a measure of consumer popularity of the product.

Abstract: An approach is provided for determining a carbon footprint-based consumption of cloud resources. Cloud resource requirements and a carbon footprint cap of a workload of a cloud consumer are received. The requirements and cap are based on a sustainability target, published by the cloud consumer, and subscribed by cloud service providers. A list of cloud resources that satisfy the requirements are sent. Carbon emission values of the cloud resources at different load levels of the workload are sent. Based on a service level agreement requirement, a criticality level, and a peak load duration of the workload, and previous success rates of satisfying cloud resource requirements by cloud service providers, an optimized configuration of cloud resource(s) and cloud service provider(s) is selected. The cloud resource(s) are selected from the list and have a carbon footprint that does not exceed the cap at a given load level.

Abstract: Provided is a computer-implemented method, system, and computer program product for dynamically configuring a virtual private network (VPN) protocol of a VPN tunnel. A processor may analyze data activity associated with a first device, where the first device is connected to a second device using a VPN tunnel. The processor may compare the analyzed data activity to a set of policies for determining a VPN protocol to apply to the VPN tunnel. The processor may identify, based on the comparing, a first VPN protocol from a plurality of VPN protocols. The processor may apply the first VPN protocol to the VPN tunnel.

Abstract: A system, method, and computer program product for implementing artificial intelligence module communication is provided. The method includes generating models associated with communications between real-time artificial intelligence modules. Classifiers associated with the models are generated and a master real-time artificial intelligence module associated with the modules and classifiers is detected. Real-time artificial intelligence modules are detected and communications between the master real-time artificial intelligence module and the real-time artificial intelligence modules are initiated. Updated classifiers, updated models, and updated self learning software are generated. The updated self learning software is executed and a resulting query associated with a Web search is executed.

Abstract: Monitoring and enhancing performance of containers using a calibration technique is implemented using a computer. Performance of a new container as part of an application running on the computer is checked by comparing a current performance of the new container with baseline data corresponding to the new container. The baseline data is derived from a calibration container corresponding to the new container. The new container is categorized in a category of performance based on the checking of the performance of the new container. An alert can be sent to a device of an administrator regarding the new container meeting a threshold of performance, in response to the new container meeting the threshold of performance. The alert can be sent to the device of the administrator for the administrator to initiate an action pertaining to the new container in response to receiving the alert.

Abstract: A system and method is provided to selectively process and store tables of a relational database by calculating an overall data sensitivity score for each table based on predefined attribute rules; performing column-wise splitting of at least one of the tables into a first table and a second table based on the overall data sensitivity score of each table, thereby generating a total number of relational database tables; storing a first subset of the total number of relational database tables in a private cloud storage database in a distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables; and storing a second subset of the total number of relational database tables in a public cloud storage database of the distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables.

Abstract: Managing hybrid cloud resources by grouping at least a portion of the elements of a data set according to attribute sensitivity into a cluster of elements, computing a resource allocation impact of the cluster of elements, computing an information gain associated with the set of elements, and allocating cloud resources according to the resource allocation impact and information gain.