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The Patents Behind Modern AI

The foundational IP that powers today's artificial intelligence systems.

Modern AI didn't emerge from nowhere — it was built on a series of mathematical and engineering breakthroughs that someone thought to patent. The Transformer architecture, now the backbone of every large language model from GPT to Gemini, was introduced in a 2017 paper by eight Google researchers and patented in 2019. PageRank — technically an AI-adjacent algorithm for ranking information by relevance — became the foundation of how machines understand importance on the web and seeded the field of graph-based machine learning. And CRISPR, while biological rather than computational, is the primary tool that AI-driven drug discovery companies are using to act on what models predict — the interface between AI inference and real-world genetic intervention. These are the patents researchers and engineers are building on.

Patents in this topic

3

US 8697359 · 2014

How to Use CRISPR-Cas9 to Edit Genes in Human Cells

This patent describes a method and system for precisely altering gene expression in eukaryotic cells, including human cells, using an engineered CRISPR-Cas9 system that targets and cleaves specific DNA sequences.

Massachusetts Institute of Technology

US 10452978 · 2019

How AI Models Understand Language Using Self-Attention

This patent describes a neural network architecture, known as the Transformer, that uses a "self-attention" mechanism to process sequences of information, like words in a sentence, by weighing the importance of different parts of the input to generate an output sequence.

Google LLC

US 6285999 · 2001

How Websites Get Ranked by Who Links to Them

This patent describes a computer method for scoring web pages or other linked documents based on the importance of the pages that link to them, helping search engines find better results.

Leland Stanford Junior University

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