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Amplifying Non-Linearity in Feedforward Network Module

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Summary

USPTO published patent application US20260093963A1 by eight inventors (Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao, Emad Barsoum) covering modifications to the FFN module framework in machine learning models. The application describes an improved nonlinear function designed to decrease hidden dimensions of the FFN module, thereby reducing computational costs. Application No. 18957488 was filed on November 22, 2024.

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What changed

The USPTO published patent application US20260093963A1 for an invention relating to modifying the framework of a feedforward network (FFN) module in machine learning models. The key technical improvement involves an enhanced nonlinear function intended to decrease the number of hidden dimensions within the FFN module, resulting in reduced computational overhead. The application classifies under CPC codes G06N 3/048 and G06N 3/0499.

This publication does not create any compliance obligations or require action from regulated entities. It represents the publication of a patent application by USPTO, which is informational in nature. No compliance deadlines, penalties, or required actions are associated with this document. Technology companies and AI researchers may wish to review the claims to assess potential impacts on their own patent strategies or research directions.

Archived snapshot

Apr 2, 2026

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← USPTO Patent Applications

AMPLIFYING NON-LINEARITY IN FEEDFORWARD NETWORK MODULE

Application US20260093963A1 Kind: A1 Apr 02, 2026

Inventors

Yixing XU, Chao LI, Dong LI, Xiao SHENG, Fan JIANG, Lu TIAN, Ashish SIRASAO, Emad BARSOUM

Abstract

Embodiments herein relate to modifying the framework of an FFN module of a machine learning model. Modifications include an improved nonlinear function of that aims to decrease the number of hidden dimensions of the FFN module, thereby reducing the computational cost.

CPC Classifications

G06N 3/048 G06N 3/0499

Filing Date

2024-11-22

Application No.

18957488

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Named provisions

Amplifying Non-Linearity in Feedforward Network Module

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Classification

Agency
USPTO
Published
April 2nd, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
US20260093963A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent Filing
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Data Privacy

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