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Machine Learning Model Compression Patent Application

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Summary

USPTO published patent application US20260099712A1 for Salesforce, Inc. on April 9, 2026. The application covers techniques for compressing machine learning models by removing and replacing blocks while preserving outputs, enabling execution on low-resource devices. The inventors are Romain Cosentino, Sarath Shekkizhar, Damjan Kalajdzievski, and Adam Earle.

What changed

USPTO published a new patent application from Salesforce covering machine learning model compression. The method involves receiving an ML model with multiple blocks, removing certain blocks to form an intermediate model, adding replacement blocks that generate equivalent outputs, and executing the compressed model on low-resource devices. CPC classifications include G06N 3/082 and G06N 3/0495.

For technology companies and AI developers, this patent application signals Salesforce's intellectual property position in model compression techniques for edge and low-resource deployment. Competitors developing similar compression methods should review the claims upon grant to assess potential freedom-to-operate implications.

What to do next

  1. Monitor for patent grant or office action responses

Archived snapshot

Apr 11, 2026

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← USPTO Patent Applications

MACHINE LEARNING MODEL COMPRESSION

Application US20260099712A1 Kind: A1 Apr 09, 2026

Assignee

Salesforce, Inc.

Inventors

Romain Cosentino, Sarath Shekkizhar, Damjan Kalajdzievski, Adam Earle

Abstract

Techniques are described herein for a method of machine learning model compression. The method includes receiving a machine learning model comprising a plurality of blocks. The method further includes removing one or more blocks of the plurality of blocks to obtain an intermediate machine learning model comprising a subset of the plurality of blocks. The method further includes adding a block to the intermediate machine learning model to obtain a compressed machine learning model. The block generates an output corresponding to an output of the removed one or more blocks of the plurality of blocks. The method further includes executing the compressed machine learning model on a low resource device.

CPC Classifications

G06N 3/082 G06N 3/0495

Filing Date

2024-10-03

Application No.

18905761

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Last updated

Classification

Agency
USPTO
Published
April 9th, 2026
Instrument
Notice
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US20260099712A1

Who this affects

Applies to
Technology companies
Industry sector
5112 Software & Technology
Activity scope
Patent application filing Machine learning development Edge AI deployment
Geographic scope
United States US

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Software & Technology

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