Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can ...
Friday, October 13th, 2017, Baltimore, Maryland: Insilico Medicine announces the publication of a new research paper in Molecular Pharmaceutics titled: "druGAN: An Advanced Generative Adversarial ...
Scientists from Mail.Ru Group, Insilico Medicine and MIPT have for the first time applied a generative neural network to create new pharmaceutical medicines with the desired characteristics. By using ...
Artificial intelligence learns to 'imagine' novel molecules with the desired properties laying the foundation for AI-powered drug discovery with superhuman abilities Tuesday, September 11th, Rockville ...
Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...
A generative adversarial network (GAN) is a deep neural system that can be used to generate synthetic data. GANs are most often used with image data but GANs can create any type of data. GANs are ...
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