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Siemens Aktiengesellschaft Patent for Neural Logic Controllers

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Published March 24th, 2026
Detected March 24th, 2026
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Summary

The USPTO has granted Siemens Aktiengesellschaft a patent (US12585936B2) for a method of executing machine learning models with a neural logic controller. The patent details a process involving a co-processor and a controller to apply machine learning models to input values and generate output values for application programs.

What changed

The United States Patent and Trademark Office (USPTO) has issued patent US12585936B2 to Siemens Aktiengesellschaft for a novel method of executing machine learning models within industrial controllers. The patent describes a system where a controller's processor manages input values in a process image, and a co-processor applies a machine learning model to these values, writing the results back to the process image for use by application programs. This grant signifies a new intellectual property in the field of AI-driven industrial control systems.

While this is a patent grant and not a regulatory rule imposing direct compliance obligations, it represents a technological advancement that may influence future industry standards and product development. Companies operating in the industrial automation and AI sectors, particularly those developing or utilizing embedded machine learning in control systems, should be aware of this patented technology. No immediate compliance actions are required, but understanding the scope of this patent is crucial for R&D and product strategy to avoid potential infringement.

Source document (simplified)

← USPTO Patent Grants

Neural logic controllers

Grant US12585936B2 Kind: B2 Mar 24, 2026

Assignee

Siemens Aktiengesellschaft

Inventors

Arquimedes Martinez Canedo, Hasan Sinan Bank, Hartmut Ludwig

Abstract

A method for executing a machine learning model with a controller includes a processor within the controller writing input values to a process image within the controller. The term process image refers to a predefined address space within volatile memory of the controller. A co-processor connected to the controller reads the input values from the process image and applies a machine learning model to the input values to generate output values. The co-processor writes output values to the process image and the processor reads those output values from the process image. The process can then execute an application program that utilizes the one or more output values.

CPC Classifications

G06N 3/08 G06N 3/063 G06N 3/105 G06F 8/38 G06F 8/41 G06F 8/60 G06F 9/542 G06F 9/544 G05B 15/02

Filing Date

2018-08-03

Application No.

17259684

Claims

13

View original document →

Named provisions

Neural logic controllers

Classification

Agency
USPTO
Published
March 24th, 2026
Instrument
Rule
Legal weight
Binding
Stage
Final
Change scope
Minor
Document ID
US12585936B2

Who this affects

Applies to
Manufacturers Technology companies
Industry sector
3341 Computer & Electronics Manufacturing 3345 Medical Device Manufacturing
Activity scope
Machine Learning Model Execution Industrial Control Systems
Geographic scope
United States US

Taxonomy

Primary area
Artificial Intelligence
Operational domain
IT Security
Topics
Machine Learning Industrial Control Systems

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