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Samsung patents method to train AI models for chip design

Samsung describes a system that splits a large AI model into smaller sections to help train a smaller, faster version of the same model. The process uses the outputs of these smaller sections to guide the training of the main model, ensuring the smaller version learns accurately.

Why it mattersThis technique could help companies create more efficient AI tools for designing computer chips, potentially speeding up the development of new hardware.

In the filing’s own words

A computer-implemented method of training a teacher model and a student model includes dividing the teacher model into a series of teacher blocks each comprising at least one layer; generating a first student branch receiving a first feature output from a first teacher block among the series of teacher blocks; training the teacher model based on outputs of the teacher model and the first student branch; and training the student model comprising a series of student blocks based on the trained teacher model, wherein the first student branch includes at least one student block.

What exactly they claim (claim 1)

1. A training system comprising: a memory storing instructions; and at least one processor configured to access the memory and execute the instructions to: divide a teacher model into a plurality of teacher blocks each comprising at least one layer; generate a student branch, which receives a first feature output from a first teacher block among the plurality of teacher blocks; train the teacher model to decrease a difference between one or more outputs of the teacher model and an output of the student branch; train a student model comprising a plurality of student blocks based on the trained teacher model; and model a semiconductor process based on the trained student model.

Facts

Company
Samsung (SAMSUNG ELECTRONICS CO., LTD.)
Official title
SYSTEM AND METHOD FOR TRAINING TEACHER MODEL BASED ON STRUCTURE OF STUDENT MODEL
Publication number
US20260278482A1
Application number
19671926
Filed
May 8, 2026
Published
Sep 17, 2026
Inventors
3
Claims
20

Classified under

G06N 20/20 Physics & computingG06F 18/214 Physics & computingG06F 18/2163 Physics & computingG06N 3/092 Physics & computing
Read the full filing (official PDF) ↗ Open in the Patent Tracker

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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.