Method of constructing a neural network model for super deep confrontation …

This invention describes a way to build a unique neural network model using a method called "super deep competitive learning." It works by comparing data representations in both a geometric (Euclidean) space and a probability space, then correcting errors between these comparisons. The network itself is described with unusual layers like a "nerve layer," "sensing layer," and "cerebral cortex," and learns through a self-organizing process.

Why it matters: Filed before advanced self-supervised learning methods like contrastive learning became widespread. These methods often involve competitive or countermeasuring aspects for robust feature extraction, aligning with the invention's core idea.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, custom neural network architecture.

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10