Amplifying Non-Linearity in Feedforward Network Module
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.
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, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
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
Named provisions
Related changes
Get daily alerts for USPTO Patent Applications - AI & Computing (G06N)
Daily digest delivered to your inbox.
Free. Unsubscribe anytime.
Source
About this page
Every important government, regulator, and court update from around the world. One place. Real-time. Free. Our mission
Source document text, dates, docket IDs, and authority are extracted directly from USPTO.
The summary, classification, recommended actions, deadlines, and penalty information are AI-generated from the original text and may contain errors. Always verify against the source document.
Classification
Who this affects
Taxonomy
Browse Categories
Get alerts for this source
We'll email you when USPTO Patent Applications - AI & Computing (G06N) publishes new changes.
Subscribed!
Optional. Filters your digest to exactly the updates that matter to you.