# Reza Farivar — Patents explained on PatentBrief

Reza Farivar has 3 landmark patents explained in plain English on PatentBrief.

- [How to Train AI Models with Fake Data Using Generative Networks](https://patentbrief.org/patent/us/20230297446/data-model-generation-using-generative-adversarial-networks)
  This patent describes a method for training artificial intelligence models using specially generated fake, or 'synthetic,' data created by a generative adversarial network, ensuring the synthetic data is high-quality and safe for training.
- [How Cloud Systems Automatically Create and Train AI Data Models](https://patentbrief.org/patent/us/11615208/dall-e-text-to-image-generation) — granted 2023
  A cloud-based system that generates fake, privacy-safe data to train AI models, ensuring they remain accurate while protecting sensitive personal information.
- [How to Automatically Detect and Fix Changes in AI Model Data](https://patentbrief.org/patent/us/10599957/systems-and-methods-for-detecting-data-drift-for-data-used-in-machine-learning-m) — granted 2020
  This patent describes a system that automatically notices when the real-world data an AI model sees changes, causing its predictions to become less accurate, and then fixes the model.

**Full profile:** https://patentbrief.org/inventor/reza-farivar

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_Source: PatentBrief — https://patentbrief.org. Plain-English explanations of US patents._