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Method for Analyzing Neural Network Parameters for Technical Improvement and Memory Optimization

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Summary

The European Patent Office granted patent EP3660748A1 to STMicroelectronics (Rousset) SAS on April 1, 2026, covering methods for analyzing neural network parameters to achieve technical improvements, specifically memory optimization through pruning and quantization techniques. The patent addresses the computational and memory efficiency challenges of deploying neural networks in resource-constrained environments such as IoT devices and edge computing systems.

What changed

The EPO published patent EP3660748A1, granting STMicroelectronics exclusive rights to methods for analyzing neural network parameters to achieve technical improvements, particularly memory gains. The patent covers techniques for optimizing neural network memory usage through parameter analysis, pruning, and quantization, enabling more efficient deployment on hardware-constrained devices.

For semiconductor manufacturers, AI chip developers, and companies deploying neural networks on edge or IoT devices, this patent establishes intellectual property barriers in the EU market for memory optimization techniques. Parties developing similar technologies in designated states (AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR) should assess infringement risks and consider licensing or design-around strategies.

What to do next

  1. Monitor for infringement risks if developing competing neural network memory optimization technologies in EU-designated states
  2. Review patent claims for potential licensing opportunities related to neural network memory optimization

Archived snapshot

Apr 9, 2026

GovPing 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.

← EPO Patent Bulletin

METHOD FOR ANALYZING A SET OF PARAMETERS OF A NEURAL NETWORK IN ORDER TO OBTAIN A TECHNICAL IMPROVEMENT, FOR EXAMPLE A MEMORY GAIN

Publication EP3660748A1 Kind: A1 Apr 01, 2026

Applicants

STMicroelectronics (Rousset) SAS

Inventors

DEMAJ, Pierre, FOLLIOT, Laurent

IPC Classifications

G06N 3/063 20060101AFI20260226BHEP G06N 3/084 20230101ALI20260226BHEP G06N 3/045 20230101ALI20260226BHEP G06N 3/0464 20230101ALI20260226BHEP G06N 3/0495 20230101ALI20260226BHEP G06N 3/09 20230101ALI20260226BHEP

Designated States

AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR

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Last updated

Classification

Agency
EPO
Published
April 1st, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
EP3660748A1

Who this affects

Applies to
Manufacturers Technology companies
Industry sector
3341 Computer & Electronics Manufacturing
Activity scope
Neural network optimization Patent grant Memory efficiency techniques
Geographic scope
European Union EU

Taxonomy

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

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