Latest AI patents, Page 208
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-
Samsung · Published May 21
Samsung Patents a Weight-Interpolation Method for Merging AI Models
Samsung has filed a patent for a technique that blends a base AI model with one or more fine-tuned versions — not by retraining from scratch, but by mathematically interpolating their weights to produce a new, merged model.
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Samsung · Published May 21
Samsung Patents a System That Maps Skin Tone Across Your Whole Body From Your Face
Samsung has filed a patent for a technique that figures out a person's natural skin tone from their face alone — then uses that as a reference to consistently segment and classify every other skin-colored region on their body in a photo.
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Samsung · Published May 21
Samsung Patents a Quality Gate That Blocks Bad AI Image Fill Results
Samsung is patenting a gating mechanism that quietly checks whether an AI-generated image fill looks acceptable before it ever appears on screen — and suppresses the result if the fill job went too far off the rails.
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Samsung · Published May 21
Samsung Patents a Diffusion Model Pipeline for Ultra-High-Resolution Image Synthesis
Samsung is patenting a way to use diffusion models — the same technology behind AI image generators like Stable Diffusion — to synthesize images at resolutions far beyond what those systems typically handle. The trick is in how it breaks the problem apart.
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Samsung · Published May 21
Samsung Patents a Frequency-Domain Image Upscaling System That Denoises Before It Sharpens
Most image upscaling works directly on pixels — Samsung's new patent takes a detour through the frequency domain first, stripping out noise before reconstructing a sharper image. It's a subtle but meaningful difference in how you get from a blurry photo to a crisp one.
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Samsung · Published May 21
Samsung Patents a Background-Stripping Method to Make Object Detection Faster
Before an AI model even tries to spot a person or car in a video, Samsung wants it to strip away everything that isn't the target — by comparing each frame against a library of known backgrounds.
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Samsung · Published May 21
Samsung Patents a Conversational System That Auto-Builds Neural Network Prompts
Getting good output from an AI model usually means knowing how to write a good prompt — which most people don't. Samsung's new patent describes a system that essentially interviews you to build one automatically.
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Samsung · Published May 21
Samsung Patents a Storage Device That Trains AI Models Internally
Instead of shipping raw data from storage to a CPU or GPU for AI model training, Samsung's patent proposes letting the storage device do the math itself — a classic 'bring compute to the data' move that could quietly reshape how machine learning hardware is architected.
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Microsoft · Published May 21
Microsoft Files Patent for AI-Generated URLs That Help Search Engines Find Hidden Content
Most search engines can only find pages they've already seen. Microsoft is patenting a system that asks an AI to guess what relevant URLs *should* exist — then goes and checks if they do.
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Waymo (Google) · Published May 21
Waymo Patents an LLM System That Predicts What Self-Driving Cars Will See Next
Waymo is patenting a system that makes its self-driving car describe what it sees in plain text — then uses those text descriptions as inputs to a separate neural network that predicts what's about to happen on the road.
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Nvidia · Published May 21
Nvidia Patents a Text-Prompt Pipeline That Builds Full 3D Scenes Object by Object
Nvidia has filed a patent describing an AI pipeline that takes a plain text prompt — think "a living room with a couch near a window" — and produces a full 3D scene by generating a layout image, identifying every object in it, and building each one as an individual 3D asset before assembling the whole thing.
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Nvidia · Published May 21
Nvidia Patents a Closed-Loop Fix for Self-Driving AI Training Drift
There's a well-known crack in how self-driving AI is trained: models learn from expert human drives, but when they hit the real world and make a small mistake, they've never been trained on what to do next. Nvidia's new patent directly targets that crack.
