A system described herein may provide a technique for the monitoring of one or more devices, such as Internet of Things (“IoT”) devices or other suitable types of devices, via one or more networks. The system may maintain readings associated with the IoT devices, and may identify a demand for a set of readings from a particular IoT device. The system may output a request to the particular IoT device. The request may indicate a maximum data size for a response to the request, as well as an indication of the latest time associated with readings received from the particular IoT device. The IoT device may respond with readings that were collected after the indicated latest time. The response may be restricted to the maximum data size. As such, the IoT device may refrain from providing a full set of readings that were collected after the indicated latest time.

A system includes a processor, safety devices including a door-related safety device, and environmental condition detection sensors. The processor is configured to receive environmental condition sensor data from the at least one environmental condition detection sensor. An imminent occurrence of a threat event tis detected that would cause the damage a building. A risk analysis model analyzes threat event related environmental condition sensor data to predict a risk value that the at least one threat event would cause the damage to the at least one building and to generate risk mitigation actions that at least reduces the damage during the actual occurrence of the threat event. Prior to the actual occurrence of the threat event, respective risk mitigation instructions are transmitted to actuators that cause an operational state change of safety devices so as to at least reduce the damage to the building from the threat event.

A system includes a processor, safety devices including a door-related safety device, and environmental condition detection sensors. The processor is configured to receive environmental condition sensor data from the at least one environmental condition detection sensor. An imminent occurrence of a threat event tis detected that would cause the damage a building. A risk analysis model analyzes threat event related environmental condition sensor data to predict a risk value that the at least one threat event would cause the damage to the at least one building and to generate risk mitigation actions that at least reduces the damage during the actual occurrence of the threat event. Prior to the actual occurrence of the threat event, respective risk mitigation instructions are transmitted to actuators that cause an operational state change of safety devices so as to at least reduce the damage to the building from the threat event.

Improved systems, methods, and architectures to enhance decision making in Smart Cities and Smart Regions. A system includes an index structure including a first hierarchical data structure including a first hierarchical score based on a plurality of first-level elements, each of the plurality of first-level elements having a respective weighting, and a second hierarchical data structure including a plurality of second hierarchical scores based on a plurality of second-level elements, each of the plurality of second-level elements having a respective weighting, such that the first hierarchical score is based on the plurality of second hierarchical scores through an index factor; and a computer-implemented regional monitor engine to manage local access to a plurality of external data sources to coordinate writes to the index structure.

Improved systems, methods, and architectures to enhance decision making in Smart Cities and Smart Regions. A system includes an index structure including a first hierarchical data structure including a first hierarchical score based on a plurality of first-level elements, each of the plurality of first-level elements having a respective weighting, and a second hierarchical data structure including a plurality of second hierarchical scores based on a plurality of second-level elements, each of the plurality of second-level elements having a respective weighting, such that the first hierarchical score is based on the plurality of second hierarchical scores through an index factor; and a computer-implemented regional monitor engine to manage local access to a plurality of external data sources to coordinate writes to the index structure.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

A method for selecting an AI solution for an automated robotic process including receiving at least one functional media including information indicative of brain activity by a human engaged in a task of interest, analyzing the functional media, identifying an activity level in at least one brain region, identifying a brain region parameter and an activity parameter; identifying an action parameter based in part on the brain region parameter or the activity parameter; and selecting a component of the AI solution in part on the brain region parameter, the activity parameter, or the action parameter.

Systems and methods for sensing and monitoring various athletic performance metrics, e.g., during the course of a game, a practice, a training session, training drills, and the like, are described. These systems and methods can provide useful metrics for players and coaches relating to athletic performances in various sports, including various team sports.

An example Internet of Things (IoT) sensor application hosted on a mobile device is configured to add the mobile device as a data sensor or source in the IoT system. The IoT sensor application is configured to provide an interface between an input or output component of the mobile device and a data pipeline or application and/or to cloud data storage associated with an IoT system. The IoT sensor application is configured to connect to an edge device of the IoT system and search for a data source identifier associated with the type of data source component, and corresponding application(s) and/or data pipeline(s) to which the data source is connected. Once connected, the IoT sensor application provides captured data to or receives processed or playback data from the data source.

An example Internet of Things (IoT) sensor application hosted on a mobile device is configured to add the mobile device as a data sensor or source in the IoT system. The IoT sensor application is configured to provide an interface between an input or output component of the mobile device and a data pipeline or application and/or to cloud data storage associated with an IoT system. The IoT sensor application is configured to connect to an edge device of the IoT system and search for a data source identifier associated with the type of data source component, and corresponding application(s) and/or data pipeline(s) to which the data source is connected. Once connected, the IoT sensor application provides captured data to or receives processed or playback data from the data source.