Latest AI patents, Page 197
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 28
Samsung Patents a Central LLM That Delegates Tasks to On-Device Sub-Models
Samsung is patenting an AI architecture where a large 'orchestrator' model breaks down your requests into sub-tasks, farms them out to smaller specialized models on individual devices, and then stitches the results back into a single coherent answer.
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IBM · Published May 28
IBM Patents a Shared-Layer System for Running Multiple Fine-Tuned AI Models at Once
Running dozens of fine-tuned AI models simultaneously is expensive — each one wants its own copy of the same giant base model loaded into memory. IBM's new patent describes a way to share that base model across all of them at once.
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IBM · Published May 28
IBM Patents an AI System That Writes Software Test Cases from Requirements Docs
Writing test cases is one of software development's most tedious chores — and IBM is betting a combination of knowledge graphs and retrieval-augmented generation can automate most of it away.
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IBM · Published May 28
IBM Patents a Context-Aware Query Rewriting System for RAG
RAG systems are only as good as the question you ask them — and most questions are underspecified. IBM's new patent tackles that problem by automatically rewriting your query before it ever hits the retrieval layer.
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IBM · Published May 28
IBM Patents a Probability-Map Approach to Finding Objects in Images
IBM is patenting a way to find objects in images without training a massive model from scratch — instead, you just show the system a few marked-up examples of what you're looking for, and it builds a probabilistic map to hunt for matches in new images.
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IBM · Published May 28
IBM Patents a Graph Neural Network Approach to Supply Chain Routing
Figuring out the best way to ship products across a sprawling network of warehouses, ports, and distribution centers is one of the nastiest optimization problems in logistics. IBM thinks graph neural networks can cut through it.
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Adobe · Published May 28
Adobe Patents On-Device AI That Personalizes Content Without Sending Your Data to a Server
Adobe is patenting a system where personalized content — think ads, banners, or creative assets — gets generated directly on your device, using local context that never has to leave your phone or laptop. The server tells your device *what kind* of content to make; your device figures out the personal details on its own.
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Adobe · Published May 28
Adobe Patents a Dual-Attention System for Precise Negative Prompting in AI Images
Getting an AI image generator to include exactly what you want is hard enough — getting it to reliably exclude something specific is even harder. Adobe's new patent tackles the exclusion problem directly by running two separate attention streams in parallel.
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Adobe · Published May 28
Adobe Patents a Generative AI That Designs Content Around Performance Data
Adobe is patenting an AI model that doesn't just generate creative content — it learns to link that content directly to real-world performance metrics, training both ideas in the same shared mathematical space.
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Adobe · Published May 28
Adobe Patents a Faster Denoising Path for AI Image Generation
Generating an AI image with a diffusion model is basically running a very expensive math problem dozens of times in a row. Adobe's new patent is about taking a smarter path through those steps so you get to the finish line faster.
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Adobe · Published May 28
Adobe Patents an AI That Generates Content and Predicts Its Performance Simultaneously
Adobe's new patent describes a generative AI model that doesn't just create content — it predicts whether that content will actually work, all in one pass.
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Adobe · Published May 28
Adobe Patents a Hybrid Neural Rendering System for Large-Scale Novel View Synthesis
Adobe is patenting a rendering approach that lets software synthesize entirely new camera angles of a scene — angles that were never actually photographed — by intelligently selecting which existing views are most similar to the target viewpoint and blending them together using both neural networks and traditional image-based methods.
