Samsung patents method for neural networks to estimate probability distributions
Samsung has filed a patent for a method that helps neural networks estimate the likelihood of different outcomes. The system uses a main network to process data and then applies a specific mathematical step to calculate a probability distribution.
In the filing’s own words
A method of operating a probability inference apparatus is provided. The probability inference apparatus is configured to generate continuous output data corresponding to input data using a backbone neural network and infer a probability distribution corresponding to the input data by performing a multiply-accumulate (MAC) operation with positive output data of the backbone neural network using a positive parameter of an additional layer.
What exactly they claim (claim 1)
1. A method of performing probability inference, the method comprising: receiving input data; generating, using a backbone neural network, continuous output data based on the input data; performing a multiply-accumulate (MAC) operation on positive output data of the backbone neural network using a positive parameter of an additional layer; and inferring a probability distribution corresponding to the input data based on a result of the MAC operation.
Facts
- Company
- Samsung (SAMSUNG ELECTRONICS CO., LTD.)
- Official title
- METHOD OF OPERATING PROBABILITY INFERENCE APPARATUS AND PROBABILITY INFERENCE APPARATUS
- Publication number
- US20260329968A1
- Application number
- 19530982
- Filed
- Feb 5, 2026
- Published
- Oct 22, 2026
- Inventors
- 5
- Claims
- 20
Classified under
G06F 17/18 Physics & computingG06F 7/5443 Physics & computingG06N 3/048 Physics & computingG06N 3/09 Physics & computingMore from Samsung 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.