A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

Methods, systems, and media for presenting contextually relevant information are provided. In some implementations, the method includes: receiving information associated with a user of a user device from multiple data sources, where the user device comprises a display; identifying, without user intervention, a relevant document based on the received information associated with the user of the user device; determining that a new browser window or a new browser tab has been opened by a browser application being executed by the user device; and causing, without user intervention, the relevant document to be presented using the new browser window or new browser tab.

A social media platform provides a map-based graphical user interface (GUI) with multiple geographically anchored icons that are selectable to trigger playback of respective galleries of ephemeral messages. Each of the plurality of location-based ephemeral galleries comprises media content contributed by multiple different users. The ephemeral galleries are compiled based on geotag data associated with respective ephemeral messages submitted by multiple users to be publicly viewable via the map-based GUI. Two or more different types of galleries are represented in the map-based GUI by different, visually distinct types of gallery icon.

Provided is a system for controlling progress of audio-video content based on sensor data of multiple users, composite neuro-physiological state (CNS) and/or content engagement power (CEP). Sensor data is received from sensors positioned on an electronic device of a first user to sense neuro-physiological responses of the first user and second users that are in field-of-view (FOV) of the sensors. Based on the sensor data and at least one of a CNS value for social interaction application and a CEP value for immersive content, recommendations of action items for first user are predicted. Content of a feedback loop, created based on sensor data, CNS value, CEP value, and predicted recommendations, is rendered on output unit of electronic device during play of the at least one of social interaction application and immersive content experience. Progress of social interaction and immersive content experience is controlled by first user based on predicted recommendations.

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

A method comprising using at least one hardware processor to: generate a que of users willing to respond to queries; receive a query and a required number of responses from an application; and assign from the que a plurality of users to respond to the query, wherein the number of the plurality of users is based on the required number of responses and wherein the users are assigned based on a score that is indicative of a quality determination of prior responses for each of the plurality of users, wherein the score is based at least on positive feedback including investing, wherein investing comprises: displaying a list of all responses of a particular user, receiving a selection of a response from the list, receiving a payment representative of the investment, initiating an investigation; and providing a results of the investigation.

The present invention relates to a system for providing genetic information-based personalized social content information, and a method thereof. Disclosed, according to one embodiment, is a system for providing genetic information-based personalized social content information, the system comprising: a genetic testing device unit which performs genetic testing for genetic physical characteristics and genetic disorders of a user; a solution management item provision unit which is installed in a management server, receives a genetic testing result as input from the genetic testing device unit, and, according to the inputted genetic testing result, provides solution management items including improvement methods for and worsening factors of the genetic physical characteristics and genetic disorders of the user; a solution performance checking unit which is installed in a communication terminal of the user, receives, from the user, inputs on whether each of the solution management items, provided by the solution management item provision unit, have been performed, and transmits same to the outside at every predetermined time period; and a user management state analysis and management unit which is installed in the management server, and analyzes and manages the degree of improvement and worsening of the genetic physical characteristics and genetic disorders of the user, according to results on whether the solution management items have been performed, which are received from the solution performance checking unit.

A system is provided that includes a mobile user device (300) that executes an application and determines and transmits a recipe for generating a target cosmetic material that is based on a combination of a plurality of separate ingredients that are associated with the user. The system includes a dispensing device (100) configured to receive the transmitted recipe from the mobile user device 300) and dispense each of the plurality of separate ingredients onto a common dispensing surface such that when the dispensed amounts of each of the plurality of separate ingredients is blended on the dispensing surface, the target cosmetic material is achieved.

Systems and methods for determining how topics evolve in a messaging system extract at least one N-gram from data content (e.g., caption of messages) in the messaging system and detect anomalous behavior in N-gram frequencies over time. The anomalous behavior is used to select candidate N-grams for a determination of whether a topic of a candidate N-gram is evolving or fading. The candidate N-grams are clustered into cluster groups that are used to train at least one time series forecasting model to predict N-gram frequencies in a future time window. A time series of the N-gram frequency is divided into old and recent partitions and pattern recognition is applied to the predicted N-gram frequencies to identify an evolving or fading topic when the difference between a frequency of each anomaly and an average rolling median for each partition is greater for the most recent partition.

In one example, a method performed by a processing system including at least one processor includes rendering an extended reality environment, monitoring social interactions of a plurality of users within the extended reality environment, adjusting the extended reality environment in response to the social interactions of the plurality of users, and adjusting a rule associated with the extended reality environment in response to the adjusting the extended reality environment.