Machine Learning Device, Estimation System, Training Method, and Recording Medium
Summary
USPTO published patent application US20260099723A1 for a machine learning device that trains encoding models for sensor data using adversarial estimation techniques. The application, filed by NEC Corporation (Application No. 19414668) on December 10, 2025, covers devices and methods for training first and second encoding models with an adversarial estimation model to improve estimation accuracy.
What changed
USPTO published patent application US20260099723A1 for a machine learning device that trains encoding models for sensor data and an adversarial estimation model. The device trains a first encoding model for first sensor data, a second encoding model for second sensor data, and an estimation model, while also training an adversarial estimation model to output estimated values of the second code. The first encoding model is trained to prevent the adversarial model from correctly estimating the second code.
Affected parties seeking to develop similar machine learning devices for sensor data encoding with adversarial training techniques should review this published application to assess potential patent infringement risks or opportunities for licensing from NEC Corporation.
Archived snapshot
Apr 18, 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 US20260099723A1 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.
19414668
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.