Latest AI patents, Page 206
How the biggest tech companies are building AI: language models, assistants and agents, vision, voice, and the systems that train them. The artificial intelligence and machine learning patent applications we have broken down from the companies we track, newest first.
- in the Nov 12 release
- 96
- in November so far
- 188
- filings tracked
- 2,637
- sub-topics
- 10
Recent filings
Newest first · 2,637 total-
Microsoft · Published May 21
Microsoft Patents a Real-Time Meeting Summarizer That Switches AI Attention Modes on the Fly
Most AI meeting summaries arrive after the call ends. Microsoft is patenting a system that builds the summary while people are still talking — by cleverly toggling between two different ways of reading the conversation.
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Nvidia · Published May 21
Nvidia Patents a System That Blends Real Camera Feeds With Digital Twin Simulations
What if a self-driving car or robot could see the world through two lenses at once — one real, one simulated — and blend the best of both? That's exactly what this Nvidia patent proposes.
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Nvidia · Published May 21
Nvidia Patents an Automatic Precision Selector for Neural Network Layers
Every layer of a neural network doesn't need the same level of numeric precision — but figuring out which layers can tolerate less has always been tedious manual work. Nvidia is filing a patent to automate that decision.
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Nvidia · Published May 21
Nvidia Patents Neural Network System That Simulates Data Center Cooling Hardware
Running a data center is essentially a giant thermal management problem — and Nvidia wants to replace physical trial-and-error with neural networks that simulate the whole cooling system before anything gets built or changed.
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Nvidia · Published May 21
Nvidia Patents a Vision Transformer That Learns Object Relationships Without Supervision
Teaching a machine to understand that a cup is *on* a table — not just that a cup and a table both exist — is a surprisingly hard problem. Nvidia's new patent tackles exactly that, by training vision models to reason about relationships between objects without needing a mountain of labeled data.
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Nvidia · Published May 21
Nvidia Patents a Hierarchical Image Generator That Refines and Upscales in Tandem
Nvidia's latest patent combines two popular AI image-generation tricks — masked prediction and progressive resolution scaling — into a single unified architecture that produces high-quality images in fewer steps than either approach alone.
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Nvidia · Published May 21
Nvidia Patents a Non-Linear Projection System for Rendering 3D Gaussian Scenes
3D Gaussian Splatting is the hottest technique in real-time scene reconstruction right now — but it breaks down when cameras have fisheye or other non-standard lenses. Nvidia's new patent proposes a fix that could make Gaussian-based rendering work cleanly for exactly those tricky optics.
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Nvidia · Published May 21
Nvidia Patents a System That Auto-Updates AI Model Cards After Every Change
Every time an AI model gets fine-tuned or quantized, its documentation instantly falls out of date. Nvidia's new patent wants to fix that with a system that automatically rewrites the model's 'nutrition label' every time the model changes.
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Nvidia · Published May 21
Nvidia Patents a Checksum System for Tracking AI Model Modifications
Every time an AI model gets fine-tuned, quantized, or optimized, it becomes a slightly different thing — and right now there's no standard way to prove exactly what changed. Nvidia's new patent wants to fix that with cryptographic-style checksums baked into the model distribution pipeline.
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Nvidia · Published May 21
Nvidia Patents a Hybrid Diffusion Model That Predicts Radar Maps from Satellite Images
Radar networks have blind spots — oceans, remote mountains, developing countries. Nvidia's new patent describes an AI system that can synthesize radar-quality storm maps using only satellite imagery, no ground-based radar required.
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Nvidia · Published May 21
Nvidia Patents ML-Driven Road Hazard Detection Using Stereo Camera Disparity
Nvidia has filed a patent for a machine learning system that detects road hazards — potholes, debris, obstacles — by comparing tiny pixel mismatches between two cameras mounted on a self-driving vehicle. It's a clever twist on how stereo vision already works, turned into an active safety net.
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Nvidia · Published May 21
Nvidia Patents a Self-Correcting Depth Image Pipeline for Stereo ML Systems
Stereo cameras are everywhere in robotics and autonomous vehicles — but their depth estimates can go badly wrong in glossy, reflective, or poorly lit environments. Nvidia's new patent describes an automated system that catches those errors and corrects them before they cause bigger problems downstream.
