Abstract: A method and system of identifying technical experts for an identified vulnerability is provided. One or more technical experts for each of one or more categories of the vulnerability are identified. Questions are sent to and answers are received from the one or more identified technical experts for each of the one or more categories of vulnerabilities, via a chatbot module. Answers to parameters that are missing for a Common Vulnerability Scoring System (CVSS) for the identified vulnerability are determined from the received answers to the parameters. The answers to the parameters are validated and a CVSS score is calculated based on the validated determined answers.

Abstract: A mobile electronic device such as a smartphone is used in conjunction with a deep learning system to detect and respond to personal danger. The deep learning system monitors current information (such as location, audio, biometrics, etc.) from the smartphone and generates a risk score by comparing the information to a routine profile for the user. If the risk score exceeds a predetermined threshold, an alert is sent to the smartphone which presents an alert screen to the user. The alert screen allows the user to cancel the alert (and notify the deep learning system) or confirm the alert (and immediately transmit an emergency message). Multiple emergency contacts can be designated, e.g., one for a low-level risk, another for an intermediate-level risk, and another for a high-level risk, and the emergency message can be sent to a selected contact depending upon the severity of the risk score.

Abstract: A mobile electronic device such as a smartphone is used in conjunction with a deep learning system to detect and respond to personal danger. The deep learning system monitors current information (such as location, audio, biometrics, etc.) from the smartphone and generates a risk score by comparing the information to a routine profile for the user. If the risk score exceeds a predetermined threshold, an alert is sent to the smartphone which presents an alert screen to the user. The alert screen allows the user to cancel the alert (and notify the deep learning system) or confirm the alert (and immediately transmit an emergency message). Multiple emergency contacts can be designated, e.g., one for a low-level risk, another for an intermediate-level risk, and another for a high-level risk, and the emergency message can be sent to a selected contact depending upon the severity of the risk score.

Abstract: In an electrical power outlet device, a processor and a memory are configured to execute an application within the outlet device, which computes a pattern of usage of the outlet device. A set of sensors in the outlet device includes a first sensor that is usable to detect an event in an environment in which the outlet device is supplying power. The environment includes elements that are not participating in an electrical circuit that receives power from the outlet device and the event is usable by the application to alter the pattern of usage. An autonomous modification of an operation of the outlet device is performed in response to the pattern of usage, the event, or both. The operation changes a power supplying state of the outlet device without using an external switching apparatus or an external logic implemented outside the outlet device.

Abstract: Aspects of the disclosure relate to managing migration of an application. The managing migration of an application includes establishing a source dataset. The source dataset includes a set of source features. The source features relate to a source. The source includes the application. A determination of a first set of migration plans is made. The determination is made with an evaluation. The evaluation is made using the source dataset and a set of legacy features. The evaluation is performed with a cost measure. The application is migrated from the source to the target. The migration is based on the determined first set of migration plans.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for automated deployment of autonomous devices performing localized environment altering actions. A processor detects a set of weather conditions for a region, wherein the set of weather conditions includes at least temperature. A processor predicts whether the temperature will influence bodily functions of at least one organism of a plurality of organisms in the region. A processor dispatches one or more autonomous devices in response to predicting that the temperature will influence the bodily functions of the at least one organism of the plurality of organisms in the region.

Abstract: An unmanned aerial vehicle coupling apparatus for drone coupling. The unmanned aerial vehicle coupling apparatus includes a processor-based monitoring device to monitor values for each of a plurality of functions provided by a unmanned aerial vehicle and to detect when a value exceeds a predetermined threshold value, a vehicle selector to receive travel routes from each of a plurality of secondary vehicles and to select a secondary vehicle based on a travel route of the secondary vehicle when the value exceeds the predetermined threshold value, and a coupling mechanism to fasten and unfasten the unmanned aerial vehicle to the secondary vehicle.

Abstract: The present invention provides a method, system, and computer program product of an intelligent self-service delivery advisor. In an embodiment, the present invention includes, in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories, identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category, selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data, generating, by the second computer system, one or more suggestions based on the catalog and the one or more computer system service tasks; and displaying, displaying by the second computer system, the one or more suggestion on a display logically coupled to the computer system.

Abstract: A method and system of assigning computing resources of a cloud by an orchestration engine is provided. A workload request is received via a network. A blueprint is extracted from the workload request. Milestones associated with the blueprint are identified. Business rules associated with the blueprint are determined. A cost of each of the identified milestones is determined. Upon determining that there is interdependence between at least some of the identified milestones, a group of milestones that are interdependent is created. The milestones are ranked based on the determined business rules and determined cost. A deployment plan is executed based on the ranked milestones.

Abstract: In an electrical power outlet device, a processor and a memory are configured to execute an application within the outlet device, which computes a pattern of usage of the outlet device. A set of sensors in the outlet device includes a first sensor that is usable to detect an event in an environment in which the outlet device is supplying power. The environment includes elements that are not participating in an electrical circuit that receives power from the outlet device and the event is usable by the application to alter the pattern of usage. An autonomous modification of an operation of the outlet device is performed in response to the pattern of usage, the event, or both. The operation changes a power supplying state of the outlet device without using an external switching apparatus or an external logic implemented outside the outlet device.

Abstract: Embodiments of the present invention provide a method, computer program product, and a computer system for automated deployment of autonomous devices performing localized environment altering actions. A set of weather conditions for a region is received. Based on the weather conditions predicting the weather in the region is likely to have a negative effect on at least one living organism in the region. Then dispatching, one or more autonomous devices to the region, wherein the one or more autonomous devices comprise a set of sensors and at least one temperature altering element. The autonomous devices is directed to a first location of the first living organism, based, at least in part on a set of data received from the set of sensors. The autonomous devices is directed to alleviate at least a portion of the negative effect of the temperature to the first living organism.

Abstract: Managing data backup during workload migration is provided. A set of workloads for migration from a source environment to a target environment is identified in response to receiving a request to migrate the set of workloads. The migration of the set of workloads is initiated from the source environment to the target environment along with migration of backup data corresponding to the set of workloads. A backup configuration transformation from a backup configuration corresponding to the source environment to a set of backup configurations corresponding to the target environment is determined based on semantic matching between characteristics of the backup configuration corresponding to the source environment and characteristics of the set of backup configurations corresponding to the target environment, a state of the source environment, backup configuration transformation actions, and a goal state of the target environment.

Abstract: Aspects of the disclosure relate to managing migration of an application. The managing migration of an application includes establishing a source dataset. The source dataset includes a set of source features. The source features relate to a source. The source includes the application. A determination of a first set of migration plans is made. The determination is made with an evaluation. The evaluation is made using the source dataset and a set of legacy features. The evaluation is performed with a cost measure. The application is migrated from the source to the target. The migration is based on the determined first set of migration plans.

Abstract: A processor-implemented method controls ameliorative devices. A cognitive mediator system receives, from one or more physical sensors, physical state readings that describe a physical environment of multiple persons that are in spatial proximity with one another. The cognitive mediator system, based on the physical state readings, determines: a cognitive state (S), a context (C), and an activity pattern (P) of the multiple persons. The cognitive mediator system, based on S, C, and P, identifies a detrimental state of the multiple persons, as well as one or more ameliorative devices that are known to ameliorate the detrimental state of the multiple persons. The cognitive mediator system then transmits, to a device controller, a device activation signal to activate the identified ameliorative device(s).

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Users of an endpoint remediation system can be assigned to different roles, from which they can request exceptions, approve exceptions, and/or enable remediation on endpoint devices. The compliance scanning and enforcing process can be automated, while allowing entities to request and/or approve certain exceptions. Therefore, security compliance for customers can be actively managed to provide visibility to the endpoint device compliance state at any time.

Abstract: Embodiments are directed to an information processing system for generating answers in response to questions. The system includes a memory, a processor system communicatively coupled to the memory. The processor system is configured to store in the memory data of a corpus of a predetermined entity, and receive a question comprising a natural language format. The processor circuit is further configured to analyze the data of the corpus of the predetermined entity to derive an emulated answer to the question, wherein the emulated answer includes an emulation of an actual answer that would be provided by the predetermined entity.

Abstract: One or more processors receive information regarding a program module that includes a description of a function, license terms, and non-functional properties of the program module. The license terms, the description of function, and the non-functional properties of the program module are identified, based on an analysis of the information. An object of interest of each license term of the license terms is determined, such that the object of interest is directed to a condition influencing license term compliance. Rules corresponding to compliance of the one or more license terms of the program module are determined, and the analyzed information of the program module is stored in a meta-model format organized into categories including the description of function, the one or more license terms, and the non-functional properties of the program module, utilizing standardized syntax and semantics.

Abstract: A method causes a self-driving vehicle (SDV) to warn passengers of an upcoming maneuver, and to explain why the SDV will be making the upcoming maneuver. One or more processors receive sensor readings that describe a condition of a roadway upon which a self-driving vehicle (SDV) is traveling, where the sensor readings are from roadway sensors that detect water on the roadway. The processor(s) reroute the SDV due to the water on the roadway, and provide an explanation to an occupant of the SDV that describes the water on the roadway as a reason for rerouting the SDV.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate compliance-aware runtime generation of containers are provided.