Samsung Patents a Dual-Track Image Input System for On-Device AI Models
Most AI vision systems make a choice: send raw image detail or compressed tokens to the model. Samsung's new patent says you…
121 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
121 total
IBM Patents a System for Auditing How Well Pre-Trained AI Models Adapt to New Tasks
Pre-trained AI models are everywhere, but knowing whether one has actually learned the right things for your specific task is surprisingly hard.…
Qualcomm Patents an AI That Blends Any Image's Style With Any Other's Content
Qualcomm has filed a patent for a system that can take the visual style of one image and apply it to the…
Qualcomm Patents a Way to Train AI Models Faster Over Noisy Wireless Networks
Training an AI model across thousands of phones simultaneously sounds chaotic — especially when half of them have weak signal. Qualcomm's new…
Nvidia Patents an API That Batches Tensor Math Into a Single GPU Call
Every time a GPU switches between separate math operations, there's overhead. Nvidia's new patent describes an API designed to collapse a chain…
Google Patents a Compound Scaling Method for Neural Network Architecture
Building a bigger neural network isn't just about making it deeper — Google's patent describes a principled way to scale three separate…
Microsoft Patents a Traffic-Aware ML System for Predicting Cloud Capacity Shortfalls
Instead of waiting for a server to buckle under load, Microsoft's new patent trains a per-service ML model to spot rising traffic…
Microsoft Patents a Neural Network That Predicts Action Sequences from Entity Relationships
Microsoft has patented a way to train attention-based neural networks that treat 'who you interact with' and 'what those interactions say about…
Nvidia Patents a System for Grading Its Own AI Output Annotators
If you're training an AI model, the quality of its training data is only as good as the people — or AI…
Nvidia Patents a Scaling System to Fix Float16 Overflow in Neural Network Training
Training a neural network in reduced precision is a constant balancing act — go too low and your numbers either explode or…
Nvidia Patents an AI Pipeline That Labels Its Own Self-Driving Training Data
Training a self-driving AI requires millions of labeled sensor frames — and labeling them by hand is slow and expensive. Nvidia's new…
Nvidia Patents a Unified Training Framework That Merges Two Types of AI Learning
Most AI models are trained to either generate content or classify it — rarely both at once. Nvidia's new patent describes a…
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