12 results about "Information discovery" patented technology

The present disclosure provides a discovery method of a near field communication controller, an AMF, a system and a storage medium, wherein the method comprises: the AMF receiving DDNMF request information sent by a terminal, the information comprising at least one Prose application ID; the AMF sending DDNMF discovery request information to the NRF if it is determined that no target DDNMF information corresponding to the Prose application ID is stored; the AMF receiving DDNMF discovery response information returned by the NRF, the information comprising target DDNMF information supporting the Prose application ID; and the AMF returning the target DDNMF information to the terminal according to the DDNMF response information. The present disclosure solves the problem of the terminal determining a suitable DDNMF in a multi-DDNMF scenario, can enhance the networking expansion capability of near field communication, and improves the user experience.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

Disclosed are computerized systems and methods for a decision intelligence (Dl)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real -world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A data modeling and analytics platform augments and annotates content captured from a user's online interactions and other documents. The data modeling and analytics platform is performed within a machine learning and artificial intelligence-based processing environment that enables observability, explainability, and data analytics for dynamic information discovery over time within a user library that includes files representing the online interactions and documents containing information of user interest.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

The invention belongs to the field of natural resource management, and particularly discloses a land resource management and utilization change information real-time acquisition method, device and equipment and a medium, and the method comprises the steps: S1, obtaining a data stream from a first-class sensing source, and generating early warning data indicating that the surface state is abnormal; s2, on the basis of the early warning data, triggering collection of a second-class data stream of the target area; s3, carrying out near real-time analysis on the second-class data stream, and identifying whether a predefined dynamic target representing a land development behavior exists in the second-class data stream or not; s4, fusing the early warning data and the behavior recognition result to generate structured land utilization change event data; according to the invention, wide-area and rapid preliminary screening is realized through abnormal state early warning; near-field and accurate video analysis and behavior capture are carried out in combination with triggering behavior evidence secondary confirmation, the overall timeliness of change information discovery is improved, and meanwhile, the misjudgment rate is remarkably reduced in combination with state and behavior cross validation.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

A hybrid architecture that combines the efficiency of small language models with the accuracy of large language models for enhanced selection of requested functionality and identification of data visualizations using an enterprise system is described. For instance, a widget selection method employs a hybrid architecture using both small and large language model to efficiently search through possible widgets by using an LLM to vectorize the titles widgets and information associated with those widgets and a small language model to use a natural language model to search the vectorized widgets.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

Disclosed are computerized systems and methods for a decision intelligence (DI)-based framework that automatically and / or dynamically provides an interactive content viewing and content discovery experience to users. The framework includes functionality for real-time video content analysis and interactive entity identification that, inter alia, provides novel capabilities to viewing users related to the extraction, analysis and subsequent interaction with content depicted within video frames during playback of such content. The framework implements artificial intelligence / machine learning (AI / ML) approaches for video processing, user interaction and information delivery through a series of interconnected processes and subsystems. In some implementations, rendered content can be parsed and mined for real-world and / or digital content depicted therein that relate to real-world entities and / or digital resources, whereby interaction with such entities is provided in the form of a provided interface, electronic message and / or recommendations for further information discovery, or some combination thereof.

An object of the system according to the embodiment is to provide necessary information to a information poor, to discover a potential labor force, and to cause the worker to participate in a labor market.SOLUTION: A system according to an embodiment includes an information providing unit and a labor mining unit. The information providing unit provides information required by the information poor. The workforce mining component mines potential workforces to participate in the labor market.SELECTED DRAWING: Figure 1

The application provides a device communication method, an electronic device and a computer readable storage medium, relates to the technical field of industrial Internet of Things, and is applied to a communication system containing a plurality of electronic devices supporting the same soft bus communication architecture. The electronic devices can include a plurality of miner terminal devices and network infrastructure devices, and the electronic devices are distributed in a plurality of local area networks (such as a local area network A and a local area network B). In the method, a root node device of the local area network A can send parameter information of a trusted device in the local area network B to a miner terminal device in the local area network A; the miner terminal device in the local area network A can discover the miner terminal device in the local area network B based on the parameter information, and send data to the miner terminal device in the local area network B through the root node device of the local area network A and the root node device of the local area network B, so that the limitation of the original broadcast domain of the soft bus communication architecture is broken, cross-local-area-network interconnection is realized, and the number of devices that can be supported by the soft bus communication architecture is significantly improved.