Sony patents method for training models using similar open-world data
Sony has filed a patent application describing a way to train computer models using an "approximate dataset" made of open-world data. This data is designed to be similar to a specific, real-world dataset, allowing the model to learn from it without needing the original data.
In the filing’s own words
The present disclosure relates to a method, apparatus, and system for training a model. Various embodiments about model training are described. In one embodiment, a method for training a model comprises acquiring an approximate dataset composed of open-world data, which is similar to an actual dataset; and training a model using the approximate dataset.
What exactly they claim (claim 1)
1. A method for training a model, comprising: acquiring an approximate dataset composed of open-world data, which is similar to an actual dataset; and training a model using the approximate dataset.
Facts
- Company
- Sony (Sony Group Corporation)
- Official title
- METHOD, DEVICE AND SYSTEM FOR TRAINING MODEL
- Publication number
- US20260260154A1
- Application number
- 18863663
- Filed
- May 12, 2023
- Published
- Sep 3, 2026
- Inventors
- 1
- Claims
- 19
Classified under
G06N 20/00 Physics & computingMore from Sony in AI & software
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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.