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Virtual surface morphology generation of Ti-6Al-4V directed energy deposition via conditional generative adversarial network

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 ...
VentureBeat

Generative adversarial networks: What GANs are and how they’ve evolved

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Perhaps you’ve read about AI capable of ...
ascopubs.org

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

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 ...
Semiconductor Engineering

Generative Adversarial Network (GAN)

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 ...
Ars Technica

Meet PassGAN, the supposedly “terrifying” AI password cracker that’s mostly hype

PassGAN is a shortened combination of the words “Password” and “generative adversarial networks.” PassGAN is an approach that debuted in 2017. It uses machine learning algorithms running on a neural ...
Forbes

Artificial Intelligence Explained: What Are Generative Adversarial Networks (GANs)?

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 ...