KAIST Develops Technology for AI-based High-resolution Image Creation

The Korea Advanced Institute of Science and Technology (KAIST) announced on April 6 that professor Yoo Hoi-jun and his research team have succeeded in developing a generative adversarial networks processing unit (GANPU) as an AI chip processing GAN with low power and high efficiency. The AI chip is capable of quickly processing arithmetic operations required for image synthesis and restoration on a mobile basis. The single chip is capable of realizing image recognition, inference, learning and determination with low power and high efficiency and is expected to contribute to the use of AI in mobile devices for more purposes. GAN can be defined as AI technology in which a deep learning network generating fake data and a deep learning network distinguishing the fake data learn while competing with each other. The technology, which results in hardly distinguishable fake data, is applied to deepfakes, which are becoming increasingly problematic these days.