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Patent of the Week: NVIDIA's Grant on Synthesizing Video From Audio
A June 2026 NVIDIA grant turns a voice track into matching video using neural networks. It's a small window into where generative media IP is heading.
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Why AI Models Need 'Data Augmentation' — Read Through an NVIDIA Patent
The least glamorous step in building a model is often the one that decides whether it works. A June 2026 NVIDIA grant is all about it.
Patent of the Week
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Hype Check: Is 'Agentic AI' a New Capability or a New Word?
The term is everywhere. The patents show something real underneath — but also that the gap between demo and dependable is exactly where the hype lives.
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Patent of the Week: Anthropic's Multimodal Agent That Drives a Computer Screen
A May 2026 Anthropic grant describes an agent that reads a screen and operates the interface. It's the IP behind 'computer use.'
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Why Everyone's Suddenly Talking About Inference Cost
The AI-economics debate quietly moved from training to inference. The patents and filings explain why that shift is the whole ballgame.
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The Capex Question: Reading the AI Buildout Through Microsoft, Alphabet, and NVIDIA's Filings
Everyone debates whether AI spending pays off. The filings won't settle it — but they tell you exactly what's being counted, and what isn't.
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Filing of the Week: What NVIDIA's 2026 10-K Says Its Chips Are Actually For
Past the headline numbers, the annual report's plain description of NVIDIA's workloads is the most durable thing in it.
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Three Ways to Tell the NVIDIA Data Center Story: A Workload, a 10-K, and a Patent
A single sentence in NVIDIA's annual report, a fresh grant from June, and the segment it all rolls up into are the same story told three ways.
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Patent of the Week: Microsoft's Grant on Routing Models by Perplexity (G06N)
A February 2026 Microsoft grant decides how to process an input based on how 'surprised' a model is by it. Here's what that buys.
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Hype Check: When Microsoft Says 'Cloud and AI Infrastructure,' What Is It Actually Counting?
The phrase is everywhere in Microsoft's filings. The deflationary read: it's mostly the same datacenters, relabeled for the moment.
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Three Ways to Tell Google's AI-Efficiency Story: A 2020 Patent, a 2026 Patent, and a Capex Line
Google's bet on doing more with less compute spans six years of patents and shows up, indirectly, in Alphabet's infrastructure spending.
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What a Mixture-of-Experts Model Actually Does — Read Through Google's Own Patent
The architecture behind today's largest models is older and simpler than the hype suggests. Google's own grant explains the mechanism.
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Training vs. Inference, Explained Through NVIDIA's Own Workload List
Two words do most of the work in every AI-compute debate. The simplest definition comes straight from a 10-K.
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How Vision-Language Models Learn to Connect Pictures and Words
The models that caption images and answer questions about them rest on a pretraining trick. A Salesforce patent lays out one version.
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RLHF in Plain English, Traced Through a Google Patent on Search-Feedback Fine-Tuning
Reinforcement learning from feedback is how raw models get useful. A 2025 Google grant shows one concrete version: fine-tuning with search-engine signals.