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Patent Application EP3682346A1 - Predicting Non-Observable Parameters for Digital Components Using Neural Networks

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Published March 25th, 2026
Detected April 1st, 2026
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Summary

The European Patent Office published patent application EP3682346A1 for Google LLC, disclosing an AI-based system and method for predicting non-observable parameters of digital components using neural networks and machine learning techniques. The invention relates to IPC classifications G06N 3/09 and G06F 16/958, covering computational methods for estimating hidden or unmeasurable digital asset characteristics.

What changed

The EPO published European patent application EP3682346A1 for Google LLC (filed by inventors Young, Conley, and Holt), disclosing a system and method for predicting non-observable parameters of digital components using neural network architectures. The patent covers techniques in machine learning (G06N 3/09) and digital content processing (G06F 16/958) to estimate parameters that cannot be directly measured or observed in digital systems.

This is a patent publication notice with no compliance requirements. Technology companies and AI developers researching parameter prediction systems should review the published claims to assess potential patent landscape implications or opportunities for licensing. No action is required for regulatory compliance purposes.

Source document (simplified)

← EPO Patent Bulletin

PREDICTING NON-OBSERVABLE PARAMETERS FOR DIGITAL COMPONENTS

Publication EP3682346A1 Kind: A1 Mar 25, 2026

Applicants

Google LLC

Inventors

YOUNG, Andrew Richard, CONLEY, Jonathan Joseph, HOLT, Gary R.

IPC Classifications

G06F 16/958 20190101AFI20251107BHEP G06N 3/0499 20230101ALI20251107BHEP G06N 3/09 20230101ALI20251107BHEP

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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Named provisions

Predicting Non-Observable Parameters for Digital Components Neural Network Parameter Estimation Machine Learning for Digital Component Analysis

Classification

Agency
EPO
Published
March 25th, 2026
Instrument
Notice
Legal weight
Non-binding
Stage
Final
Change scope
Minor
Document ID
EP3682346A1

Who this affects

Applies to
Technology companies Manufacturers
Industry sector
5112 Software & Technology 3341 Computer & Electronics Manufacturing
Activity scope
Patent Application AI/ML Systems Digital Component Analysis
Geographic scope
European Union EU

Taxonomy

Primary area
Intellectual Property
Operational domain
Legal
Topics
Artificial Intelligence Software

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