Compared to traditional generative adversarial network models, the quantum generative adversarial network model researched by WiMi has shorter simulation time. This benefits from the parallel ...
A recent study, jointly led by Professor Im Doo Jung in the Department of Mechanical Engineering at UNIST and Professor Hyokyung Sung from Kookmin University proposed a novel method with artificial ...
A conditional generative adversarial network architecture was implemented to generate synthetic data. Use cases were myelodysplastic syndromes (MDS) and AML: 7,133 patients were included. A fully ...
Generative adversarial networks, or GANs, are deep learning frameworks for unsupervised learning that utilize two neural networks. The two networks are pitted against each other, with one generating ...
The field of artificial intelligence (AI) is fast-moving, and new breakthroughs are regularly made. One of the more recent terms rising to prominence is Generative Adversarial Network (GAN) – but what ...
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