585 results about "Content creation" patented technology

A behavioral authorship verification system captures and analyzes multi-modal behavioral patterns during content creation to authenticate human authorship. The system comprises a processor executing behavioral analysis modules that generate comprehensive behavioral fingerprints distinguishing genuine human authors from AI-generated content and impostor authorship. A sentence progression mapping module detects sentence boundaries and captures intermediate composition states including additions, deletions, and modifications. A multi-modal input analysis module monitors keystroke dynamics including flight time and dwell time while detecting paste events and input method transitions. A behavioral pattern recognition engine generates user-specific baselines from historical sessions and computes deviation scores using statistical distance metrics. An anomaly correlation module aggregates behavioral deviation signals using weighted fusion algorithms to detect sophisticated mimicry attempts. An authorship scoring engine synthesizes outputs into unified confidence scores while maintaining temporal authorship chains. The system enables real-time authorship verification during content creation rather than post-hoc analysis.

The invention discloses a media content production and distribution integrated system based on multi-agent collaboration, and relates to the technical field of media content production and distribution. The system comprises a content creation multi-task intelligent system, an audience analysis multi-task intelligent system and a media content distribution module, and the content creation multi-task intelligent system comprises a topic selection planning agent, a text creation agent, an article illustration agent and a content evaluation agent. The audience analysis multi-task intelligent system comprises a data processing agent, a user portrait agent and an interest prediction agent, and through functions and cooperation of the agents, an AI large language model and a multi-agent cooperation technology can be introduced, so that a full-service process from media content production to media content distribution can be automatically opened, and the efficiency is improved. And automatic production and personalized distribution of the media content are realized, the production efficiency and the propagation effect of the media content are greatly improved, and practical application and popularization are facilitated.

An AI-powered content generation system that creates consistent, coherent, and engaging multi-modal content by integrating multiple specialized AI components. The system analyzes user input, identifies key elements, and maintains continuity throughout the generation process. It incorporates a feedback loop to learn and adapt based on user preferences, enabling personalized content experiences. The modular architecture allows for seamless integration of AI components focusing on text, images, audio, and interactive elements. The system ensures consistency across modalities and over extended periods, while managing rights, licenses, and royalties using blockchain technology. This advanced platform revolutionizes content creation, consumption, and management in the digital age.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a generative interface panel having multiple automated assistant services. Each assistant service may access a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Systems and methods are described for providing for display a user interface to facilitate creation of a three-dimensional (3D) environment. The disclosed techniques may generate the 3D environment based on one or more inputs received via the user interface, and perform visual processing of the 3D environment to obtain a natural language description of the 3D environment. The disclosed techniques may determine a context of the 3D environment based at least in part on the natural language description and may store the context in a data structure. A 3D content library may be queried, based on the natural language description of the 3D environment, to identify at least one recommended 3D object that is relevant to the stored context of the 3D environment. The disclosed techniques may providing for display, at the user interface, selectable option(s) to add the at least one recommended 3D object to the 3D environment.

The invention discloses a creation content generation method and system based on AIGC, a medium and a program product, and relates to the technical field of artificial intelligence, and the method comprises the steps: determining the theme and style of creation content, carrying out preliminary content creation in combination with target audience information, and generating a preliminary creation content frame; performing emotional enrichment and creative enhancement processing on the preliminary creation content framework, and obtaining a processed creation content framework and a corresponding creation element set; based on historical combination data of different creation elements in the creation element set, determining an optimal creation content generation strategy according to innovation factor correlation coefficients of the creation elements and corresponding creation optimization strategies in a content generation model for creation effect-oriented optimization; according to the optimal creation content generation strategy, utilizing the optimized content generation model to intelligently generate final creation content; while the content generation efficiency is ensured, the personalized level of the generated content is improved, and the diversified requirements of different user groups are met.

A data processing system implements and iterative process for dynamically creating a template including receiving a request for a template suggestion for an electronic content item for an application on a client device. The request includes an identifier of the application and textual content from the first electronic content item. The system further implements providing the identifier of the first application and the textual content to a language model to obtain a template suggestion, the language model being trained to analyze the identifier of the application and the textual content and to output the template suggestion, the template suggestion comprising a template identifier and a first subsection identifier identifying a first subsection of the first template predicted to be relevant to the user for creating the electronic content item, sending the template suggestion to the client device, and causing the client device to present the template suggestion in the application.

A cloud-centric platform is used for generating virtual three-dimensional (3D) content, that allows users to collaborate online and that can be connected to different software tools (applications). Using the platform, virtual environments (e.g., scenes, worlds, universes) can be created, accessed, and interacted with simultaneously by multiple collaborative content creators using varying content creation or development applications.

Technology is disclosed herein for personalized writing assistance via an LLM integration in a software application. In an implementation, a computing device identifies user-specific preferences for content creation. The computing device submits a prompt to an LLM that includes selected content associated with a user and the user-specific preferences, along with a request for the LLM to suggest an intent to modify the selected content in view of the user-specific preferences. The computing device receives a reply from the LLM including the intent to modify the selected content. When the user accepts the suggestion, the computing device generates and submits a second prompt to the LLM including a request for the LLM to modify the selected content according to the intent. The computing device receives a reply from the LLM including a modified version of the selected content and displays the modified version of the selected content.

Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and / or request bodies, structuring user-generated content, and / or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and / or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

The invention discloses an education experience system based on a virtual reality technology, which relates to the technical field of virtual reality and comprises a data acquisition module, a virtual reality content creation module, an interaction module, a data analysis module, an evaluation module and a central control module. The data acquisition module acquires and processes teaching materials; the virtual reality content creation module constructs a teaching scene according to materials; the interaction module generates a plot by means of a specific architecture, and interacts with a user by combining action, voice and touch units; the data analysis module collects multi-dimensional learning data, carries out deep analysis and then outputs a result; the evaluation module evaluates the learning effect and the teaching suitability by means of the analysis result and the user performance; the central control module coordinates data interaction and instruction transmission of the related modules as a whole and assists education development together.

The invention provides an intelligent content creation method and system based on multi-modal data processing and dynamic task planning. After a user submits social media information, the system automatically captures and collects historical social media data of the user, carries out deep analysis on the data through a multi-modal model, and constructs and stores a user portrait in a database. When a user creates contents, the system dynamically calls an adaptive large model according to a multi-mode identification result: processing video contents by using a video analysis model, converting audio data by using an audio large model, analyzing pictures by using an image analysis model and the like; and the large language model is accurately generated based on user problems and integrated analysis results. And the system can record the interactive dialogue and behavior data of the user. And the dynamic task planning module dynamically analyzes and calls a hotspot tracking tool or a network retrieval tool to analyze contents according to an analysis result of the multi-modal data uploaded by the user, so that personalized, intelligent and precise content creation is realized, and the responsivity and the precision of creation are effectively improved.

The invention belongs to the technical field of digital content security, and discloses a multi-mode AI content security risk traceability and identification detection system. Through obtaining multi-source heterogeneous data of content creation, editing, distribution and presentation of a full link, a content full link feature fingerprint is constructed, and cross-modal consistency analysis and link continuity verification are realized. According to the method, traceability map construction is introduced, potential tampering points are used as map nodes, content risks are quantified through tampering probability weights and risk transfer intensity, and tampering sources and propagation paths are accurately identified. The method has comprehensiveness and accuracy, deep analysis and risk assessment can be carried out on the multi-modal content, and the tampered content is effectively recognized and synthesized.

The invention discloses a content creation and multi-mode display platform based on AIGC. The system comprises six modules of user interaction, content creation intelligent collaboration, AIGC auxiliary creation, data management, multi-modal deep fusion display and user feedback. The user interaction module supports various inputs and provides a creation template; the content creation intelligent collaboration module analyzes the intention and intelligently distributes tasks; the AIGC auxiliary creation module provides multi-mode creation assistance; the data management module stores various data; the multi-modal deep fusion display module is used for mining modal connection to realize deep fusion display; and the user feedback module collects and feeds back optimization contents and algorithms. Through cooperative work of the modules, the problems that an existing platform is difficult in creation cooperation, single in content generation, insufficient in multi-mode display and the like are effectively solved, creation efficiency and content quality are improved, immersive experience is brought to users, and innovative development of the field of content creation and display is promoted.

An AI-based system generates personalized educational content tailored to individual students' abilities and needs. The platform analyzes academic standards, curriculum guidelines, and student data including IEP status using natural language processing to build customized profiles. Large language models (LLMs) including GPTs, BERT, and custom models as well as generative adversarial networks (GANs), diffusion models, and other AI algorithms are leveraged to dynamically generate lessons, assignments, recommendations, visual aids, and other educational content adapted for each learner. The system stores output in JSON format for further transformation. Educators can review auto-generated content, provide guiding prompts, and collaborate via social features. Administrative controls enable customization across districts and schools. By leveraging AI to automate personalized content creation, the system reduces teacher workload while improving educational outcomes.

Building on U.S. Provisional Patent Application No. 63 / 693,803, paragraphs for 2D-to-3D conversion and [0023]-[0024] for secure content verification, the Matrix 3D AI Polygon Mesh Hash Key System revolutionizes transforming 2D content into secure, interactive 3D AR / VR assets. Integrating AI and LiDAR, it enables real-time 3D mesh generation with precise geospatial anchoring. Users can reshape 3D content instantly via natural language commands, enhancing interactivity. Quantum-resistant encryption, using AES-256 and CRYSTALS-Kyber, ensures robust asset security. The system excels in gaming, surveillance, content verification, military operations, space exploration, deepfake detection, and pharmaceutical research, offering unmatched precision and scalability. Its multi-stage rendering pipeline, powered by distributed AI-driven bots, supports efficient real-time 3D mesh generation, achieving 95% accuracy and 1 cm resolution. This AR / VR technology advancement transforms industries with scalable, secure solutions for interactive 3D content creation and management, setting a new standard for precision and versatility.

The invention relates to a new media AI marketing content creation method and device, equipment and a medium. The method comprises the steps of obtaining user demand configuration, and obtaining a creation intention vector through natural language analysis; based on the platform characteristic knowledge base, extracting a corresponding structure specification and a propagation mechanism according to the target platform, and encoding to obtain a platform characteristic vector; obtaining historical content interaction data corresponding to the audience group, and generating a user-content interaction vector by adopting collaborative filtering and a label similarity algorithm in combination with the content keyword; and calling an artificial intelligence large model, and performing content generation according to the creation intention vector, the platform feature vector and the user-content interaction vector to obtain content creation data. By adopting the method, the goal of automatic, high-quality and personalized new media marketing content creation in a multi-platform environment can be realized by means of natural language analysis, knowledge structure extraction, large model generation constraint and the like.

The invention discloses a new media content creation and distribution platform, and the platform comprises a user portrait construction module which is used for collecting user behavior data and generating a multi-dimensional interest label; the multi-modal content generation module supports automatic generation and editing of texts, images, audios and videos; an advanced algorithm is integrated through a multi-modal content generation module, intelligent collaborative production of texts, images, audios and videos is achieved, creation efficiency is improved, title variant generation and style imitation are supported, and the manual creative bottleneck is broken through; the intelligent distribution engine adopts reinforcement learning to dynamically optimize weight distribution and combines a platform feature analyzer and an A / B test unit to improve cross-platform distribution accuracy and traffic conversion rate; the block chain evidence storage and cross-platform crawler system constructs a full-link copyright protection network, so that content fingerprints can be quickly chained, infringement contents can be automatically released, and the right protection efficiency is improved; and the virtual digital human driving module and the multi-mode conversion unit extend the content adaptability, so that the immersion of the user is enhanced.

The invention discloses a video content creation method and device based on new media data analysis, and a server side method comprises the steps: receiving a video content creation request sent by a client side, wherein the video content creation request carries a content keyword; through a preset BI system, retrieving new media accounts related to the content keywords and comment area contents corresponding to videos published by the new media accounts as new media data, and retrieving e-commerce platform data corresponding to products related to the content keywords; generating user preference information and market trend information corresponding to the content keywords according to the new media data and the e-commerce platform data; and generating a target video based on the user preference information and the market trend information, and sending the target video to the client for playing. Therefore, by adopting the embodiment of the invention, the limitation of the traditional manual creation and single automatic editing technology is overcome, so that the automation, individuation and high-quality output of video content creation are realized.

The invention discloses a short video automatic generation method and device based on a new media content creation model, and a server side method comprises the steps: receiving a short video generation request sent by a client side, wherein the short video generation request carries a video production description text and a user identifier; inputting the video production description text into a pre-fine-tuned large language model, and outputting video production scheme information; searching temporary video materials and system materials uploaded by the user from a BI system through the user identifier; under the condition that the temporary video material is not empty, inputting the video production scheme information, the temporary video material and the system material into a video generation model; or under the condition that the temporary video material is empty, inputting the video production scheme information and the system material into the video generation model; and outputting the target short video, and sending the target short video to the client. Therefore, by adopting the embodiment of the invention, the generated short video can show rich layering sense and emotion tension, so that the quality of the short video is improved.

Techniques for generating three-dimensional content from the recordings of one or more independently operated cameras that are not constrained to fixed positions and orientations are disclosed. In some embodiments, data associated with a camera recording a scene is received, wherein camera pose with respect to the scene is not known; camera pose with respect to the scene is determined based on received image data captured by the camera and received sensor data associated with the camera; and the received data and determined camera pose are used to facilitate generation of at least a portion of a point cloud corresponding to the scene.

The invention provides an automatic SEO setting system and method in a station building CMS, and belongs to the technical field of station building CMS. According to the method, the AI technology is utilized, the keywords are deeply mined and screened, the keywords with high conversion potential and the long tail keywords are accurately recognized, the real demands of users are insighted, the competition situation of the keywords is intelligently evaluated, and the popularity change is predicted. In the aspect of content creation, a content outline, a first draft and a specific paragraph can be generated according to a target keyword and a user portrait, optimization suggestions can be provided in the aspects of readability, keyword layout and the like, and content personalized recommendation is achieved. Compared with a traditional SEO technology, the method has the advantages that the keyword screening efficiency and the long tail keyword coverage rate are improved, the matching degree of content and user requirements is optimized, ranking and flow of websites in a search engine are improved, and the method is efficient and accurate.

The invention discloses a method and equipment for constructing a multi-role cooperative processing task based on a large language model. The method comprises the steps that the identity of a large language model is endowed to be a universal role agent, the universal role agent creates a plurality of task role agents based on the content of a task instruction, and the identities of the task role agents are different; updating the identity of the large language model as a task splitting agent, splitting the task into a plurality of sub-tasks by the task splitting agent based on the obtained identity of each task role agent, and allocating the plurality of sub-tasks to the corresponding task role agents; each task role agent executes the corresponding sub-task to obtain a sub-task result and submits each sub-task result; and updating the identity of the large language model as a task result summarization agent, and summarizing each subtask result by the task result summarization agent to obtain an execution result corresponding to the task. By means of the mode, multi-role cooperative task processing can be achieved, and the execution quality and the execution efficiency are improved.

The invention discloses a social blog management system and method based on Vue and SpringBoot, belongs to the technical field of social networks, and solves the problems that an existing system only focuses on user information collection, activity registration and basic data storage and cannot meet the complex requirements of a blog platform for content creation, personalized recommendation and multi-dimensional social interaction, and the social blog management efficiency is improved. The system comprises a front-end module, a rear-end module and a database module, and the front-end module and the rear-end module carry out data interaction through AJAX and RESTful API (Application Program Interface); according to the system, a front-end and back-end separation framework of Vue.js and SpringBoot is adopted, and a relational database MySQL, a memory database Redis and OSS storage are combined, so that efficient storage and cache management of data are realized, the system performance is optimized, a back-end module can generate personalized recommendation information by analyzing user blog information, the user experience is improved, and the user experience is improved. Rich user management and social contact functions are provided, and interaction between users is enhanced.

The invention discloses an application development method, an application development device and XR equipment, and relates to the technical field of augmented reality, and the method comprises the steps: receiving a preset XR scene component dragged by a user to an XR scene template through a visual editor; in response to a user request, calling an AIGC model to generate an XR content material, and inserting the XR content material into a specified position of a current XR scene; and receiving the configuration of the user on the interaction logic, converting the current XR scene and the interaction logic into an executable format of the target XR glasses through the adaptation layer, and outputting an application package adaptive to the target XR glasses. Visual development and AIGC automatic content generation are combined, so that the XR content creation threshold is reduced, the development efficiency is improved, and diversified application scenes are supported.

Aspects of the disclosed technology include machine-learning systems and methods for generating user interface elements that allow user control over generative content creation by machine-learned generative models. A generative user interface (UI) system is configured to generate, as output of one or more machine-learned sequence processing models, computer-executable functional code to process a user query in association with a content item. The system is configured to generate computer-executable interface code for a user interface that includes a user interface element associated with at least one parameter of the computer-executable functional code for modifying the content item. The system is configured to determine data for the at least one parameter of the computer-executable functional code based at least in part on a user input to the user interface element and generate a modified content item using the computer-executable functional code and the data for the at least one parameter.

The invention relates to the field of artificial intelligence, financial science and technology and digital medical treatment, and discloses an image-based video generation method and device, equipment and a storage medium. The method comprises the following steps: receiving and preprocessing an input static image to generate a multi-scale feature; based on the multi-scale features, determining an optimal space-time processing path through differentiable search of a space-time architecture generator, and generating output features fused with time sequence dynamic information; generating a video frame based on the time sequence recurrent neural network and the output features; and inputting the video frames into the video frame sequence, and generating a target video through the video frame sequence. According to the method, the optimal space-time processing path can be automatically determined through differential search, manual intervention is avoided, the time sequence coherence and detail authenticity of the video are ensured by dynamically generating the output characteristics of the fusion time sequence information and generating the video, the video generation quality and efficiency are improved, and the video quality is improved. The method is suitable for high-precision video generation such as video synthesis, content creation and virtual reality in the fields of finance and medical treatment.

A method for generating a résumé may receive at least an experience parameter and a job title parameter. Related job titles in a historical résumé dataset may be selected that are semantically related to the job title parameter by using a semantically similar job title selector. The historical résumé dataset may be filtered based on at least the experience parameter and the related job titles to obtain a filtered résumé dataset. A list of user skills may be obtained by selecting skills from the filtered résumé dataset. A list of curated skills may be obtained by selecting curated skills from a curated skills dataset based on at least the experience parameter and the one or more related job titles. A list of candidate skills may be obtained by mapping skills from the list of user skills to corresponding curated skills. Selected candidate skills may be incorporated into a résumé.

A method for automating roadmap software content creation is provided. The method may include gathering data, by at least one processor, from one or more data sources; filtering, by the at least one processor, the data based on a predetermined criteria to identify one or more requests to update a software application being unsupported by an external cloud environment; and creating content automatically for a roadmap software tool, based on the one or more requests, by using a content generating workflow software tool.

New and improved interfaces for the live streaming of content by a content creator are provided. In a preferred embodiment the interface comprises a first area for displaying a live streaming video; a second area for displaying a live chat simultaneously with the live streaming video and a third area for displaying a plurality of advertisement opportunities simultaneously with the live streaming video and the live chat wherein each advertisement opportunity in the plurality of advertisement opportunities includes a script that can be read by the content creator during the live streaming video.