Generative Display System Using AI for Predictive Content
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Solution Overview
Problem
Current display systems lack the ability to effectively generate and integrate predictive and generative content across multiple user interfaces and environments, limiting user interaction and productivity in multi-tasking and AI-driven applications.
Innovation Solution
An extended display generator system that includes input stream modules, function modules, visual templates, and graphical user interfaces to generate and display content dynamically, using AI and machine learning to process user inputs and environmental data, enabling interactive and predictive features across multiple layers and depths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current display systems are used, then basic display functionality is provided, but the ability to generate and integrate predictive and generative content across multiple user interfaces is limited
Solution Approach 1:
The system is divided into separate functional modules: input stream modules for receiving data from multiple sources, function modules for processing and generating content, and display modules for presenting information. This modular architecture enables the system to handle complex generative content integration across multiple interfaces while maintaining manageable complexity through functional decomposition.
Solution Approach 2:
The display system is designed to serve multiple functions simultaneously - it can display traditional content, generate predictive content, create generative content, and integrate these across different user interfaces. The universal architecture allows a single system to perform diverse tasks without requiring separate specialized systems for each function.
2Productivity
If multiple user interfaces and environments are integrated, then user interaction and productivity are improved, but the complexity of coordinating content across interfaces increases
Solution Approach 1:
The system incorporates feedback mechanisms where content generated or displayed on one interface can be detected and utilized by other interfaces. Input streams continuously monitor user interactions and environmental data, providing feedback that triggers appropriate responses across the multi-interface system, enabling coherent content coordination through continuous monitoring and adaptive response.
Solution Approach 2:
Function modules act as intermediaries between different input stream modules and display modules. These intermediary components process and translate content between different interfaces and environments, mediating the coordination complexity by providing standardized processing layers that simplify communication and content integration across the distributed system.
Data Source
AI summary
In some embodiments, generative systems are physical mechanics and hardware apparatus to generate display content and include an input receiver module, a graphics processor module, and an output module. In some embodiments, the input receive module converts or splits a video input signal to provide a video input stream for the graphical processing module, which includes one or more processing units. The graphics processor module extracts both the graphical input content and the metadata of the input stream, operates on said information, and outputs the result to the output module, which emits an output signal for display on a display system. In some embodiments, the graphics processor module uses a generative function or a computer vision function. In some embodiments generative system is a standalone device to mediate and infer visual content between a computational system and a display system.