20240013520. METHOD AND SYSTEM FOR UNIQUE, PROCEDURALLY GENERATED DIGITAL OBJECTS VIA FEW-SHOT MODEL simplified abstract (Emoji ID, LLC)

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METHOD AND SYSTEM FOR UNIQUE, PROCEDURALLY GENERATED DIGITAL OBJECTS VIA FEW-SHOT MODEL

Organization Name

Emoji ID, LLC

Inventor(s)

Naveen Kumar Jain of Nashville TN (US)

Riccardo Paolo Spagni of Plettenburg (ZA)

METHOD AND SYSTEM FOR UNIQUE, PROCEDURALLY GENERATED DIGITAL OBJECTS VIA FEW-SHOT MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240013520 titled 'METHOD AND SYSTEM FOR UNIQUE, PROCEDURALLY GENERATED DIGITAL OBJECTS VIA FEW-SHOT MODEL

Simplified Explanation

The disclosed patent application describes a digital object generator that uses a one-way function to create unique digital objects based on user-specific input. The input is processed using a few-shot convolutional neural network model to extract features, which are then evaluated and integrated to generate the digital object. The resulting digital object includes a user-readable output, such as a visual representation, an audio representation, or a multimedia representation that includes recognizable elements from the user's input.

  • The patent application describes a digital object generator that creates unique digital objects based on user-specific input.
  • The generator uses a one-way function to generate these digital objects.
  • The input is processed using a few-shot convolutional neural network model to extract features.
  • The extracted features are then evaluated and integrated to generate the digital object.
  • The resulting digital object includes a user-readable output, such as a visual representation, an audio representation, or a multimedia representation.
  • The user-specific input is used to create recognizable elements in the digital object.

Potential applications of this technology:

  • Content creation: The digital object generator can be used to create unique visual or multimedia content based on user input, which can be useful in various creative industries such as graphic design, advertising, and entertainment.
  • Personalization: The technology can be used to generate personalized digital objects, such as customized avatars or virtual representations, for individuals in virtual reality or gaming applications.
  • Data visualization: The generated digital objects can be used to represent complex data in a more visually appealing and understandable way, making it useful in fields such as data analysis and scientific research.

Problems solved by this technology:

  • Lack of uniqueness: The digital object generator solves the problem of creating unique digital objects by using a one-way function and user-specific input, ensuring that each generated object is distinct.
  • Time-consuming content creation: The technology automates the process of generating digital objects, saving time and effort compared to manual creation.
  • Difficulty in representing user-specific input: The generator incorporates recognizable elements from the user's input, making the resulting digital object more meaningful and representative of the user's intentions.

Benefits of this technology:

  • Efficiency: The digital object generator streamlines the process of creating unique digital objects, reducing the time and resources required.
  • Personalization: The technology allows for the creation of personalized digital objects, enhancing user engagement and satisfaction.
  • Enhanced data representation: The generated digital objects provide a more visually appealing and understandable representation of complex data, aiding in data analysis and decision-making.


Original Abstract Submitted

disclosed herein is digital object generator that makes uses a one-way function to generate unique digital objects based on the user specific input. features of the input are first extracted via a few-shot convolutional neural network model, then evaluated weight and integrated fit. the resulting digital object includes a user decipherable output such as a visual representation, an audio representation, or a multimedia representation that includes recognizable elements from the user specific input.

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