Systems and methods for collection, management, and distribution of data with a crowdsourced knowledge data base are disclosed. The systems and methods may be configured for: storing information in a standardized format in one or more network-based databases having a collection of records stored thereon; providing remote access to users over a network so any one of the users can update the information about a record in the collection of records in real time through a graphical user interface, wherein the one of the users provides the updated information in a non-standardized format; converting the updated information into the standardized format; storing the standardized updated information in the database in the standardized format; generating a message containing the updated information whenever one has been stored; and transmitting the message to all of the users over the network in real time, so that each user has immediate access to up-to-date information.

Using a first trained residual neural network, an event analysis is generated from a set of event description encodings, an event description encoding in the set of event description encodings encoding a natural language description of an event, the event analysis comprising a first set of coordinates in an event space. Using a second trained residual neural network, the event analysis and a user description encoding, a personalization analysis is generated, the user description encoding a user interaction with the event, the personalization analysis comprising a component of a second set of coordinates in the event space. Using a combination of the event analysis and the personalization analysis, a first event component is activated, the first event component comprising a component of the event.

An environmental data monitoring and feedback controlling system and a method thereof are disclosed, a first wireless transceiver module is electrically connected to environmental sensors to form a sensor module, a server is electrically connected to a second wireless transceiver module to form a network gateway, and the server polls the sensor module to receive and store the environmental data through the network gateway, and permits a display panel device to load and display the stored environmental data in a chart. When the environmental data exceeds a preset threshold, a warning device is driven to write the received environmental data into a register of a programmable logic controller of an air conditioning device, so that the control logic automatically controls the air conditioning device to activate or stop based on the environmental data stored in the register, thereby improving the correction immediacy for environmental abnormality.

In one aspect, a device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to receive at least one override signal of at least a first autonomous driving feature of a vehicle, disable the first autonomous driving feature responsive to the override signal, and wirelessly transmit to at least a first computer server a signal indicating that the override signal was received.

Methods, systems and processor-readable media for providing instant/real-time voice alerts automatically to remote electronic devices. An activity can be detected utilizing one or more sensors. A text message indicative of the activity can be generated and converted into a digitized voice alert. The activity can also be a live utterance (e.g., a live announcement), which can then be instantly converted into a digitized voice alert for automatic delivery in a selected series of languages following the base language (e.g., English). The combined digitized voice alert can then be instantly transmitted through a network for broadcast of consecutive alerts (e.g., English followed by Spanish followed by Vietnamese, etc.) to one or more remote electronic devices that communicate with the network for an automatic audio announcement of the digitized voice alert through the one or more remote electronic devices.

A method includes identifying a first user device potentially associated with a biohazard and identifying a geographic area associated with the biohazard based on previous location information of the first user device. The method further includes identifying a another user device potentially associated with the biohazard based on the geographic area associated with the biohazard and previous location information of the other user device. The method further includes issuing a safety notification to the other user device, where the safety notification includes one or more of the geographic area associated with the biohazard, a safety status request, a safety status level of the first user device, a subset of the previous location information of the first user device, and a subset of the previous location information of the other user device.

A highlight transmission service allows users of communication devices to view highlights of sporting events while the sporting events are occurring without having to watch the sporting events. For example, a computer-implemented method may comprise: determining that a highlight of a sporting event is to be conveyed to a communication device; and transmitting data regarding the highlight of the sporting event to the communication device over a network during the sporting event in order to allow a user of the communication device to view the highlight of the sporting event.

In a method of managing emergency management information within an observation platform an emergency management and response application is provisioned at an observation platform. The provisioning is administered by a cloud services platform and includes configuration and deployment of the emergency management and response application within the observation platform. A communicative connection is established, via a gateway of the cloud services platform, between the emergency management and response application and a system external to the observation platform. In response to receipt at the observation platform of a report of an emergency, operation of the emergency management and response application is triggered within the observation platform. Emergency management information is sent, via the emergency management and response application, to a group of users of the observation platform. The emergency management information includes at least one of an alert related to the emergency and instructions related to the emergency.

A method and apparatus for managing network status information in a network, such as a satellite mesh network. A network node receives a network status update, indicative of a change in network conditions, from another node, e.g. via flooding. Based on a direction of travel of the update, content of at least one counter field of the network status update is adjusted. The update is then propagated, or not, based on the counter fields. A counter field may be increased in response to the update travelling in one direction and decreased in response to the update travelling in an opposite direction. Different counter fields may be adjusted in response to the update travelling in different, e.g. orthogonal, directions. The direction can be determined based on which of plural directional communication interfaces received the update.

An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization’s position on an issue; a policymaker acting or voting in favor of the organization’s position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes of sending messages.