Abstract: Described are techniques for determining an impact threat of an orbiting object by a crowdsource satellite network. The techniques include capturing, by a satellite included in a crowdsource satellite network, information associated with an orbiting object detected by the satellite. The techniques further include providing, by the satellite, the information associated with the orbiting object to the crowdsource satellite network. The techniques further include collaborating by the satellite with other satellites in the crowdsource satellite network to track the orbiting object, generate an orbital model of the orbiting object, and to analyze a predicted path of the orbiting object represented by the orbital model to determine an impact threat associated with the predicted path of the orbiting object.

Abstract: A computer-implemented method, a computer system and a computer program product orchestrate event-driven workloads in a satellite environment. The method includes receiving a workload from a client for deployment to a satellite in a plurality of satellites, where the workload includes requirements. The method also includes obtaining satellite data for each satellite in the plurality of satellites, where the satellite data includes a capability of the satellite and a current status of the satellite. The method further includes determining that the capability of the satellite satisfies the requirements of the workload. In addition, the method includes identifying a relevant satellite in the plurality of satellites based on the current status of the satellite. Lastly, the method includes deploying the workload to a ground station associated with the relevant satellite.

Abstract: In an approach for interpreting one or more astronomical events and activating a network of telescopes for optimized observation of the one or more astronomical events, a processor monitors for a set of published content regarding the one or more astronomical events. Responsive to detecting the set of published content, a processor extracts, interprets, and correlates the set of published content to identify an area in space related to the one or more astronomical events for observation. A processor implements a monitoring system, wherein the monitoring system includes one or more registered telescopes of a network of telescopes to autonomously observe the area. A processor signals the one or more registered telescopes to capture an image of the one or more astronomical events. Responsive to the one or more registered telescopes capturing the image, a processor classifies one or more objects in the image. A processor publishes the image.

Abstract: A context-aware automation system is presented including performing a business process within a geographical boundary, capturing data from a plurality of sensors and cameras positioned in and around the geographical boundary, the data pertaining to different stages of the business process, detecting contextual changes within the geographical boundary, identifying data insufficiency within the different stages of the business process, requesting a satellite service provider to initiate communication with one or more satellites to obtain complementary business process data based on software-defined satellite rules, transmitting, by the one or more satellites, the complementary business process data based on the software-defined satellite rules to a cloud service provider communicating with one or more user terminals to evaluate a quality of key performance indicators (KPIs) extracted from the complementary business process data, and employing one or more of the KPIs to resolve the data insufficiency within the

Abstract: A method, apparatus and computer program for detecting natural language (NL) bias by a conversational system is described. Embodiments of the invention determine an NL bias in a set of training questions used to train a machine learning model used by the conversational system to select a user intent. Other embodiments of the invention determine an NL bias in a user question received by the conversation system as compared to the set of training questions. The NL bias causes the machine learning to preferentially associate user queries to a user intent. In respective embodiments, the system takes a corrective action to adjust the NL bias of the training questions or the user question.

Abstract: Disclosed embodiments provide systems and methods for implementing enhanced geo-restricted data management in satellite constellation datacenters. A disclosed system and methods implement a satellite constellation datacenter of multiple LEO satellites that enables real-time satellite communications using lasers and secure data storage in the satellite constellation datacenter to protect critical data from unauthorized access and supports secure data transfer between the LEO satellites using laser based data transfer. To enable secure storage of geo-location restricted data in a LEO satellite, the LEO satellite constellation datacenter defines a geo-location cone and requires that the geo-location restricted data be stored within the geo-location cone. LEO satellites within the defined geo-location cone store the geo-location restricted data and securely transfer the geo-location restricted data from one satellite to another satellite within the defined geo-location cone.

Abstract: Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

Abstract: Providing power to orbiting satellites by providing an array including at least one power supply satellites, receiving a power request from a customer satellite, ensuring angular alignment between a power transmitting element of a supply satellite and a power receiving element of the customer satellite, transmitting power from the supply satellite to the customer satellite, and recording the quantity of power transmitted from the supply satellite to the customer satellite.

Abstract: Systems and methods are provided for publishing immutable references to geospatial data. In embodiments, a method includes identifying geospatial data of a data provider, wherein the geospatial data is associated with a grid element of a discrete global grid (DGG); generating, in a grid element data store, an immutable reference in time to the geospatial data, the immutable reference including a pointer to a unique label of the grid element of the DGG and a storage location of the geospatial data; receiving a data request from a user, the data request including location information identifying the grid element; and providing a response to the user including the storage location of the geospatial data associated with the grid element to enable access of the geospatial data by the user, wherein the immutable reference provides a guarantee that the geospatial data is originating from the data provider.

Abstract: Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.

Abstract: A method, apparatus and computer program for detecting natural language (NL) bias by a conversational system is described. Embodiments of the invention determine an NL bias in a set of training questions used to train a machine learning model used by the conversational system to select a user intent. Other embodiments of the invention determine an NL bias in a user question received by the conversation system as compared to the set of training questions. The NL bias causes the machine learning to preferentially associate user queries to a user intent. In respective embodiments, the system takes a corrective action to adjust the NL bias of the training questions or the user question.

Abstract: An animal audio signature may be collected by a solar powered sound collection device. The solar powered collection device may use a supercapacitor to store power. The animal audio signature may be compared to a database of known animal audio signatures. The database may contain one or more identities for each of the known animal audio signatures. A known animal audio signature that matches the collected animal audio signature may be identified. An identity associated with the known animal audio signature may be transmitted to a data repository over a 5G wireless network.

Abstract: Managing anonymous network connections. In one aspect managing anonymous network connections by providing anonymous authentication credentials to a plurality of devices in a hierarchical network, registering a first set of devices at a first data aggregator, determining that the first set of devices at the first aggregator numbers less than a first threshold value, registering the first set of devices with a second aggregator upstream in the hierarchy from the first aggregator, causing data from the first set of devices to be received at the second aggregator.

Abstract: An animal audio signature may be collected by a solar powered sound collection device. The solar powered collection device may use a supercapacitor to store power. The animal audio signature may be compared to a database of known animal audio signatures. The database may contain one or more identities for each of the known animal audio signatures. A known animal audio signature that matches the collected animal audio signature may be identified. An identity associated with the known animal audio signature may be transmitted to a data repository over a 5G wireless network.

Abstract: Methods and systems for artificially intelligent security incident and event management using an attention-based deep neural network and transfer learning are disclosed. A method includes: collecting, by a computing device, system and network activity events in bulk; forming, by the computing device, a corpus using the collected system and network activity events; correlating, by the computing device, discrete events of the system and network activity events into offenses; adding, by the computing device, additional features to the corpus representing the offenses and disposition decisions regarding the offenses; training, by the computing device, a deep neural network using the corpus; and tuning, by the computing device, the deep neural network for a monitored computing environment using transfer learning.

Abstract: Managing anonymous network connections. In one aspect managing anonymous network connections by providing anonymous authentication credentials to a plurality of devices in a hierarchical network, registering a first set of devices at a first data aggregator, determining that the first set of devices at the first aggregator numbers less than a first threshold value, registering the first set of devices with a second aggregator upstream in the hierarchy from the first aggregator, causing data from the first set of devices to be received at the second aggregator.

Abstract: Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

Abstract: Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

Abstract: A system and method for correlating end user error reports with software developer defect logs to thereby update the end user error reports with information from the developer defect logs. With the system and method, when support personnel open an end user error report to address the problem encountered by the user, the mechanisms of the system and method search a defect report database to determine if there is any defect report related to the same error that is the subject of the opened end user error report. If so, the end user error report is updated to include information from the defect report. This information may include, for example, the identity of the source of the problem generating the error, the identity of the fix or patch that solves the problem generating the error encountered by the end user, if any, and the like.

Abstract: A system and method for correlating end user error reports with software developer defect logs to thereby update the end user error reports with information from the developer defect logs. With the system and method, when support personnel open an end user error report to address the problem encountered by the user, the mechanisms of the system and method search a defect report database to determine if there is any defect report related to the same error that is the subject of the opened end user error report. If so, the end user error report is updated to include information from the defect report. This information may include, for example, the identity of the source of the problem generating the error, the identity of the fix or patch that solves the problem generating the error encountered by the end user, if any, and the like.