Google Patents a Two-Model System for Smarter AI Training Data Selection
Training a good AI model is only as good as the data you feed it — and most companies are drowning in…
211 filings · category
AI training & infrastructure patents
The unglamorous machinery underneath: training methods, inference speedups, model compression, and the scheduling tricks that make AI affordable to run.
Recent filings
211 total
Google Patents a Teacher-Student Framework for Shrinking AI Models
What if you could take a massive, expensive AI model and compress its knowledge into a tiny one that runs cheaply on…
Google Patents the 'Teacher-Student' AI Training Method Behind Model Compression
Three of the biggest names in deep learning — Hinton, Dean, and Vinyals — are on a Google patent for knowledge distillation,…
Microsoft Patents a Split Neural Network System That Runs Across Device and Cloud
What if your phone only had to do part of the AI thinking, and the cloud quietly filled in the gaps? That's…
Nvidia Patents a Smarter Batching Method for Graph Neural Network Training
Training graph neural networks is notoriously wasteful — most batching methods ignore the graph's own structure, so each training step spends half…
Nvidia Patents a System That Amplifies Robot Training Data 100x Automatically
Teaching a robot to do something useful requires enormous amounts of demonstration data — and collecting that data by hand is slow,…
Nvidia Patents a Self-Routing AI Inference System That Skips the Traffic Cop
Every time an AI model needs to answer a question, there's usually a central coordinator bouncing the request back and forth between…
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