3 results about "Interactive search" patented technology

A system for interactive searches based on user queries data and a plurality of Large Language Models (LLMs) including a processor of a Human-Machine Interface (HMI) server node configured to host a network of LLMs and at least one machine learning module (ML) and connected to at least one user-entity node over a network and a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to: receive a search request input data from the at least one user-entity node; evaluate, by a first dedicated LLM, relevance of the search request input data by discerning between primary and secondary information; responsive to evaluation by the first dedicated LLM, derive classifying features from the primary and secondary information and generate a feature vector based on the classifying features; ingest the feature vector into the ML module configured to extract additional search parameters from a predictive search model based on historical search data associated with the at least one user-entity node; dissect, by a second dedicated LLM, the search request input data and the additional search parameters to separate the data into qualitative and quantitative criteria elements based on the primary and the secondary information; transform, by a third dedicated LLM, the quantitative criteria elements into structured queries for a database; process, by a fourth dedicated LLM, the qualitative criteria elements by searching through a semi-structured data repository; and synthesize, by the fifth LLM, processed search findings into a succinct human-language summary.

This invention relates to a differential denoising interactive target tracking method and system for traffic scenarios, comprising: acquiring traffic video frames; preprocessing the current frame (search frame) and template frame to obtain a search map and a template map; inputting a trained visual tracking model, extracting multi-level template feature maps, search region feature maps, and template global category tokens through a DINOv3 backbone network with frozen parameters; modulating the search region features using the template category tokens through a heatmap modulation module to enhance target response; fusing template features and enhanced search features through a multi-level feature fusion module to construct a hierarchical feature fusion sequence; performing differential attention processing on the feature sequence through a differential denoising interactive module to obtain interactive search features; and finally, decoding the target bounding box of the current frame using a localizer. This method can effectively improve the robustness and accuracy of target tracking in complex traffic scenarios.

A system and method for performing interactive security search by a security analytics platform. An example method includes receiving, by one or more processing devices of a security analytics platform, a search request in a natural language; determining an intent of the search request and one or more search terms defining the search request; compiling a search query based on the intent of the search request and the one or more search terms defining the search request; determining whether the search query is cached in a search cache; responsive to determining that the search query is not cached in the search cache, extracting a plurality of security events by executing the search query against one or more data sources; storing the extracted security events in the search cache; generating a response to the search request by processing the plurality of security events; and returning the response.