NEC Corporation Multi-Sensor Encoding and Adversarial Estimation Machine Learning Device Patent Application
Summary
USPTO published patent application US20260099724A1 for NEC Corporation's machine learning device that trains encoding models for sensor data and adversarial estimation models. The invention encodes first and second sensor data into codes, trains an adversarial estimation model to estimate cross-modal codes, and trains the encoding model to resist adversarial estimation. This publication affects technology companies and manufacturers developing multi-sensor machine learning systems.
What changed
USPTO published patent application US20260099724A1 for NEC Corporation's machine learning device that trains encoding models for first and second sensor data and trains an adversarial estimation model to estimate cross-modal codes. The system trains the encoding model to resist adversarial estimation, creating a robust cross-modal estimation framework.
Technology companies and manufacturers developing multi-sensor machine learning systems should monitor this application for potential licensing implications or freedom-to-operate concerns. Inventors and patent applicants may also reference this application as prior art when evaluating similar machine learning architectures.
What to do next
- Monitor for patent grant or examination updates
- Review for potential licensing or freedom-to-operate implications
Archived snapshot
Apr 15, 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.
MACHINE LEARNING DEVICE, ESTIMATION SYSTEM, TRAINING METHOD, AND RECORDING MEDIUM
Application US20260099724A1 Kind: A1 Apr 09, 2026
Assignee
NEC Corporation
Inventors
Kenichiro FUKUSHI, Hiroshi KAJITANI, Fumiyuki NIHEY, Chenhui HUANG, Kazuki IHARA, Zhenwei WANG, Yoshitaka NOZAKI, Kentaro NAKAHARA
Abstract
A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.
CPC Classifications
G06N 3/094 G06N 3/045
Filing Date
2025-12-10
Application No.
19414754
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.