Gan

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OpenAI is a non-profit AI research company that develops generative models and focuses on aligning them with human values. This includes the development and application of Generative Adversarial Networks (GANs) as part of their broader AI and machine learning research efforts.

Gretel.ai provides generative AI tools to create and augment data, and specifically mentions the use of Gretel DGAN (which stands for Differentially Private Generative Adversarial Networks) to generate time series data. This indicates that the company is involved in the development and application of Generative Adversarial Networks (GANs).

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Hive provides generative tasks including image generation, text generation, and video generation APIs, which likely involve the use of Generative Adversarial Networks (GANs).

D-ID is involved in the development and application of Generative Adversarial Networks (GANs) as evidenced by their specialization in video reenactment technology using AI and deep learning, and their creation of the first facial image de-identification solution.

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KUNGFU.AI provides generative AI services and offers a Generative AI Playbook, which suggests involvement in the development or application of Generative Adversarial Networks (GANs).

Earthshot Labs visualizes reforestation outcomes using generative adversarial networks to show potential landscape changes.

The company partners with Yurts AI to deploy secure generative AI solutions, which suggests involvement in generative AI technologies, potentially including GANs.

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Lingaro provides services in Generative AI and is listed in the Gartner® Guide to Service Providers for GenAI Initiatives, which suggests involvement in the development or application of Generative Adversarial Networks (GANs).

Bakken & Bæck is involved in the development and application of Generative Adversarial Networks (GANs). Specific evidence includes Gunnar Aastrand Grimnes writing about debugging a custom TensorFlow.js DCGAN model and the company's research project 'Machine Windows: Views from the Latent Space,' which explores generative neural networks.

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