View source for SONY INTERACTIVE ENTERTAINMENT INC. (20240273402). Artificial Intelligence (AI)-Based Generation of In-App Asset Variations simplified abstract

=Artificial Intelligence (AI)-Based Generation of In-App Asset Variations=


==Organization Name==

[[:Category:SONY INTERACTIVE ENTERTAINMENT INC.|SONY INTERACTIVE ENTERTAINMENT INC.]]


[[Category:SONY INTERACTIVE ENTERTAINMENT INC.]]

==Inventor(s)==

[[:Category:Victoria Dorn of Hayward CA (US)|Victoria Dorn of Hayward CA (US)]][[Category:Victoria Dorn of Hayward CA (US)]]

[[:Category:Anders Lykkehoy of Foster City CA (US)|Anders Lykkehoy of Foster City CA (US)]][[Category:Anders Lykkehoy of Foster City CA (US)]]

[[:Category:Michael Gibbes of Sunnyvale CA (US)|Michael Gibbes of Sunnyvale CA (US)]][[Category:Michael Gibbes of Sunnyvale CA (US)]]

==Artificial Intelligence (AI)-Based Generation of In-App Asset Variations - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240273402 titled 'Artificial Intelligence (AI)-Based Generation of In-App Asset Variations

**Simplified Explanation:**
The patent application describes a method where an artificial intelligence model generates variations of an in-app asset based on contextual features provided, with the variations automatically generated and conveyed for human assessment.

**Key Features and Innovation:**
* Artificial intelligence model used to generate variations of in-app assets.
* Contextual communication specifies contextual features for variation generation.
* Variations automatically generated relative to a reference version of the asset.
* Potential automatic culling process for generated variations.
* In-app assets can be audio or graphical assets.

**Potential Applications:**
This technology can be applied in app development, digital marketing, and content creation industries.

**Problems Solved:**
This technology streamlines the process of generating variations of in-app assets based on contextual features, saving time and resources for developers and marketers.

**Benefits:**
* Efficient generation of asset variations.
* Improved customization and personalization of in-app content.
* Enhanced user engagement and experience.

**Commercial Applications:**
Potential commercial applications include app development tools, marketing automation platforms, and content creation software.

**Questions about the Technology:**
1. How does the automatic culling process work in this technology?
   - The automatic culling process evaluates generated variations and filters out less desirable ones based on predefined criteria.
2. What are the key factors that influence the generation of variations by the artificial intelligence model?
   - The key factors include the contextual features specified in the contextual communication and the reference version of the in-app asset.


==Original Abstract Submitted==

a description of a reference version of an in-app asset is provided to an artificial intelligence model. a contextual communication is provided to the artificial intelligence model, wherein the contextual communication specifies a contextual feature for generation of variations of the reference version of the in-app asset. the artificial intelligence model is executed to automatically generate a variation of the in-app asset based on the contextual feature specified by the contextual communication, where the variation of the in-app asset is defined relative to the reference version of the in-app asset. the automatically generated variation of the in-app asset is conveyed for human assessment. in some embodiments, the automatically generated variation of the in-app asset is subjected to an automatic culling process before being conveyed for human assessment. in some embodiments, the in-app asset is defined by multiple layers. the in-app asset is either an audio asset or a graphical asset.



[[Category:G06N20/00]]
[[Category:CPC_G06N20/00]]