358 results about "Content creation" patented technology

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.

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.

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.

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 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 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.

An authentication system for verifying creation of digital content includes a machine learning classifier configured to analyze data points related to a content creation process, a programmatic rules-based analysis component configured to apply predefined criteria to the data points, and a human-viewable replay component configured to provide a visual representation of the content creation process. The authentication system is configured to determine whether the digital content was created by a human or generated by artificial intelligence (AI) based on outputs from the machine learning classifier, the programmatic rules-based analysis component, and the human-viewable replay component. The data points may include keystroke dynamics, syntax and style analysis, error patterns and corrections, content revision history, behavioral data, content creation timeline, gestures and touch interactions, brushstrokes and drawing patterns, voice and audio analysis, physical interaction with devices, eye tracking and gaze patterns, and biometric data.

A method employs a simulation-driven environment for Al model training in filmmaking, using virtual scenes, filmmaking metadata, and Lidar data to enhance video generation capabilities. A system includes processors and memory to generate virtual scenes, integrate Lidar data with filmmaking metadata, and train Al models for improved video content creation. A computer-readable medium contains instructions for generating virtual scenes, integrating Lidar data and filmmaking metadata, and training Al models to enhance video content generation without constant new real-world data.

The invention discloses a holographic content editing method and device based on multi-modal semantics, equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: obtaining and processing multi-modal culture content and real environment information inputted by a user; and generating unified and optimized target semantic features by using a dynamic semantic weighting strategy and a semantic alignment comparison method. The holographic content is generated in combination with the condition fusion generation model, the structure perception graph neural network is fused with the real environment, and finally personalized editing optimization is performed according to a user instruction, so that the semantic consistency, editing efficiency and fusion suitability of holographic content creation are improved.

The invention discloses a dynamic intelligent multi-module real-time content recommendation system based on multi-channel behavior data. The dynamic intelligent multi-module real-time content recommendation system comprises a basic tool module, a creation tool module, a content stream module, a creation agent module, a multi-channel data acquisition and analysis system and a cross-module dynamic linkage recommendation module. The method can accurately predict user demands and actively position related contents, greatly reduces user browsing and searching time, improves first screen content matching degree, improves content acquisition efficiency, can trigger and dynamically adjust content display strategies and function arrangement sequences of functional modules according to user behaviors, breaks barriers among the modules, and improves user experience. According to the method, intelligent linkage among multiple modules is achieved, more personalized creation experience is provided for a user, the core problems of content homogenization, module isolation and poor user experience of a current AI content creation platform can be effectively solved, and a dynamic intelligent multi-module real-time content recommendation system based on multi-channel behavior data is provided for the user.

The invention discloses an immersive content production and simulation system for a motion vehicle, and aims to solve the problems that virtual vision and physical motion are difficult to match, the content production cost is high and the interactivity is insufficient. According to the system, a six-degree-of-freedom track of a target is planned through a content making simulation operation end, and a moving carrier is driven to execute; and meanwhile, real motion data of the carrier is collected, and comparison and iterative correction are carried out on the real motion data and the target trajectory until errors converge. The system also uses artificial intelligence to generate medium-long-shot and close-shot three-dimensional asset fusion. Through closed-loop correction driven by physical data, high-precision synchronization of motion and pictures is realized, the development period is remarkably shortened, the content cost is reduced, and the personalized interactive experience is improved.

A method generates AI-based video content with a style by capturing scenes in various formats, applying alterations, and training AI with feedback for authenticity. A system includes processors and memory to capture scenes, apply alterations, construct datasets, and train AI for generating styled video content. A non-transitory computer-readable medium has instructions for capturing scenes, applying post-production alterations, and training AI to generate video content with a predetermined style.

The invention discloses a wearable digital olfaction experience device, system and method. The core purpose of the wearable digital olfaction experience device, system and method is to determine that olfaction is a brand-new and high-fidelity digital information medium. The device is positioned as a purely "olfactory display" that includes a nose wearing structure, an olfactory stimulus generating unit, a wireless communication module, and a processing circuit. The core of the olfactory stimulus control device is that the processing circuit adopts pure open-loop control logic and is configured to receive timestamps and parameters defined in an external digital control instruction sequence and drive the olfactory stimulus generation unit to perform high-fidelity micro-dose release strictly according to the timestamps and parameters. An accurate and synchronous olfactory dimension is provided for immersive experience such as VR / AR, a brand-new and private information expression mode is opened up, and a complete technical link from content creation to sharing is constructed around the device.

A computer-implemented method for defining and creating a request intake flow for an issue tracking system is described. Embodiments described herein include systems and techniques for creating custom portal intake flows for an issue tracking system. The systems may include a user interface that allows portal intake flows to be generated and the user to select the information and workflow for an intake flow during the generation process. Embodiments are also directed to system and methods for creating dynamic summaries for issues managed by an issue tracking system. The dynamic summaries may be generated using a generative output model, as described herein, and provide information to a user about a current status, history or other events associated with an issue. Embodiments are directed to systems and methods for using a generative output engine to provide suggestions for creating a project management interface for an issue tracking system.

The invention relates to the field of video prediction, in particular to a video sequence prediction method and system based on object segmentation guidance, and the prediction method comprises the steps: receiving a historical video frame sequence, and carrying out the video object segmentation and tracking processing of the historical video frame sequence, generating structural representation information of each object in each frame and distributing a continuous and unique tracking ID for each object; encoding the structural representation information and the tracking ID into an object-level structured feature sequence; inputting the object-level structured feature sequence into a conditional diffusion model as a guide condition, and generating a potential spatial intermediate feature representing a future video frame through an iterative denoising process; the potential spatial intermediate features are decoded into a pixel-level sequence of future video frames. According to the method, the problems of the existing video prediction technology in the aspects of object consistency, physical authenticity, error accumulation and the like are solved, the application potential in a complex scene is expanded, and support is provided for video prediction in the fields of automatic driving, robot perception, content creation and the like.

A computer-implemented method and system for creating a virtual channel based on linear broadcast content, is disclosed. The method comprises obtaining scheduling information and content information associated with a plurality of content items in a content schedule for two or more existing channels, the content information comprising at least an identifier for each content item; determining, for each timeslot in a predetermined time period, a ranking for each content item scheduled in each timeslot; selecting, for each timeslot, a content item based on the ranking; and creating one or more virtual channel schedules comprising at least the identifier for the selected content items from the two or more existing channels.

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 relates to the technical field of artificial intelligence assisted content creation, in particular to a short play outline generation method and system, comprising: calling a large language model to generate candidate outlines based on a plurality of policy instruction vectors, each outline being associated with a corresponding policy instruction; carrying out multiple rounds of independent and randomly sorted automatic evaluation on the candidate outline, and calculating a quantitative value score of each outline by adopting a pruning mean value algorithm; and screening a high-score outline according to the score and a preset condition, and inputting the high-score outline and an original strategy instruction into a model together to generate an optimized outline. According to the method, through oriented content generation, multi-round randomization depolarization evaluation and trimming mean value robust scoring guided by the strategy instruction, and in combination with a path dependence optimization mechanism, the quality stability, evaluation objectivity and optimization reliability of outline generation are remarkably improved, and efficient, controllable and traceable industrial episode outline production is realized.

Approaches presented herein provide systems and methods include bi-directional connectors to transmit information between different address locations associated with different data sources. One or more features may have associated values corresponding to one or more parameters of the feature. These features may be stored in multiple different data sources, where the data sources may have different properties or functionality. A bi-directional connector may be established to link the respective address locations for common features between different data sources so that changes at one data source can be recognized, evaluated, and then implemented in the other connected data sources.

The invention discloses a digital textbook income distribution intelligent contract method supporting dynamic weight, and belongs to the field of block chain and digital education fusion. The method is deployed in a block chain network and comprises the core steps that multi-source heterogeneous data collection and credible chaining are carried out, and multi-dimensional data such as use intensity and user feedback are credibly transmitted to a chain through an oracle machine; a comprehensive popularity index is calculated on the chain, and a credible index reflecting the teaching material value is generated through normalization and weighted aggregation; the income weight is dynamically adjusted based on the popularity index, and the weight is updated in an epochical manner through various adjustable functions; and after the sales event is triggered, automatically completing atomization income distribution and full-link auditing. According to the method, a traditional static sharing mode is broken through, the income distribution and the dynamic presentation of the teaching materials are accurately linked, the distribution fairness and efficiency are improved, the trust cost is reduced, high-quality content creation is effectively stimulated, and an intelligent value distribution infrastructure is provided for digital education ecology.

The invention discloses a controllable voice generation method and device based on multi-agent dynamic scheduling, and belongs to the technical field of voice synthesis, and the method comprises the steps: constructing a multi-agent voice generation frame comprising a central scheduling module, an identity agent, an emotion agent and an environment agent; a central scheduling module analyzes a user instruction and outputs a structured task plan to drive each agent to generate primary voice output of identity, emotion and environment dimensions, and a cooperation cost matrix between the agents is constructed according to the primary voice output; the optimal execution path of the multiple agents is solved through an optimization algorithm based on the cost matrix, the agents are executed in a cascading mode based on the optimal execution path, and finally sound mixing is completed and high-quality voice is output. According to the method, the naturalness, the semantic consistency and the overall quality of the synthesized voice in a complex scene can be remarkably improved, and the method is suitable for various man-machine interaction application scenes such as intelligent voice assistants, virtual digital humans, immersive entertainment, barrier-free voice services, personalized content creation and the like.

Systems and methods are provided herein for creating interactive 3D content for XR devices using a single camera. This may be accomplished by receiving a first piece of content comprising a plurality of segments, wherein the first piece of content is recorded by a first camera. A system may identify a first object within a first segment of the first piece of content and compare the first object with a plurality of 3D models stored in a database. In response to determining that a first 3D model of the plurality of 3D models corresponds to the first object, the system then generates a second piece of content, by combining the first 3D model with the first piece of content. The system also generates an index associated with the second piece of 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 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.

The invention discloses an e-commerce operation assistance method and system based on an active AI intelligent agent, and relates to the technical field of e-commerce, and the method comprises the following steps: S1, multi-source data access and state monitoring: accessing e-commerce operation related data in real time or at regular time, synchronously updating an internal knowledge base, and monitoring a preset key business index state; and S2, active perception and intention recognition: analyzing user input through natural language processing to recognize user intention, scanning accessed service data through an active inspection engine, and recognizing state abnormality or risk opportunity points based on a preset rule. According to the e-commerce business auxiliary method and system provided by the invention, potential problems can be found and early warned in time by actively sensing and monitoring e-commerce business data, merchants are helped to take measures in advance to avoid risks, multiple functions of intelligent question answering, high-frequency business processing, content creation, business analysis and the like are integrated, and a one-stop intelligent entrance is provided for the merchants.

The invention provides an electronic canvas processing method and device and display equipment, relates to the technical field of computers, and is used for realizing infinite extension of an electronic canvas and improving the convenience of content creation of a user. The method comprises the steps that a plurality of logic partitions are created based on a canvas area displayed on a display screen, areas corresponding to the logic partitions and the canvas area form an extended canvas, and first graphic objects in the logic partitions and second graphic objects in the canvas area form graphic content of the extended canvas; rendering a graphic object in the graphic content, and displaying the second graphic object in the display screen after rendering is completed; in response to canvas translation operation input by a user, determining a target graphic object to be displayed in the display screen in the graphic content; and rendering the target graphic object, and controlling the display screen to display the rendered target graphic object.

Embodiments herein describe a portal system for maintaining a user portal that is used for managing and generating scannable images. The scannable images may be linked to different types of content such as website URLs, social media platform user profiles, and augmented reality experiences. The user portal is accessible from a social media platform via user login credentials. Upon entering their user login credentials, the portal system authenticates the user login credentials and displays a list existing scannable images that are stored in association with the user portal. The user may modify one or more aspects of the existing scannable images or may generate a new scannable image from the user interface.

The embodiment of the invention provides a media data editing method and device, electronic equipment, a storage medium and a product. The method comprises the following steps: displaying a media content creation page; wherein the media content creation page comprises a function list used for generating media data, and the function list at least comprises an audio editing function item; in response to a triggering operation on any audio editing function item, displaying a media data editing page corresponding to the triggered audio editing function item, so as to determine first audio data corresponding to the triggered audio editing function based on an editing operation in the media data editing page; in response to detecting an edit completion event of the first audio data, first media content is determined based on the edited first audio data. According to the scheme, the audio editing function is deeply integrated, seamless connection of creation pages is achieved, operation interruption and switching cost are effectively reduced, editing efficiency and audio and picture collaboration are improved, and finally user experience is enhanced.