NEC Patent for Knowledge Tracing Device
Summary
The USPTO has published a new patent application from NEC Corporation for a knowledge tracing device. The application details a method for determining variational parameters and calculating lower bounds of likelihood functions, potentially impacting how AI models are trained and validated.
What changed
This document is a publication of a new patent application (US20260087377A1) filed by NEC Corporation on December 2, 2025. The patent describes a knowledge tracing device and method, focusing on specific computational techniques for determining variational parameters and calculating lower bounds of likelihood functions, particularly those approximated by Gaussian distributions. The application details units for calculating gradients and lower bounds in both one-dimensional and full-dimensional contexts.
This patent publication does not impose any new regulatory obligations or compliance requirements on regulated entities. It represents an intellectual property filing that may influence future technological developments in areas such as artificial intelligence, machine learning, and data processing. Compliance officers should note this as a development in the IP landscape relevant to technology companies, particularly those involved in AI research and development.
Archived snapshot
Mar 26, 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.
KNOWLEDGE TRACING DEVICE, METHOD, AND PROGRAM
Application US20260087377A1 Kind: A1 Mar 26, 2026
Assignee
NEC Corporation
Inventors
Hiroshi TAMANO
Abstract
The variational parameter determination unit 81 determines a variational parameter that specifies a position where a likelihood function and a lower bound of the likelihood function to be approximated by Gaussian are in contact. The gradient direction lower bound calculation unit 82 generates a likelihood function made one-dimensional in a gradient direction at the center of a prior distribution and calculates the lower bound of the generated likelihood function. The full dimensional lower bound calculation unit 83 sets covariances in directions other than the gradient direction to an arbitrary covariance and calculates the lower bounds of the set covariances.
CPC Classifications
G06N 5/02 G06F 18/214 G06F 18/2415 G06N 3/047 G06N 3/08 G06N 5/022 G06N 5/04 G06N 7/01 G06N 20/00 H04L 27/2017
Filing Date
2025-12-02
Application No.
19405545
Named provisions
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