Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

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 ...
EurekAlert!

Achieving high-value chemical diversity for the pharmaceutical artificial intelligence

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 ...
VentureBeat

Baidu details its adversarial toolbox for testing robustness of AI models

Are you ready to bring more awareness to your brand? Consider becoming a sponsor for The AI Impact Tour. Learn more about the opportunities here. No matter the claimed robustness of AI and machine ...
EurekAlert!

New artificial intelligence model to bridge biology and chemistry

May 19th, 2020, Hong Kong - Insilico Medicine announces the publication of a new research paper titled "Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders" in ...
Visual Studio Magazine

Generating Synthetic Data Using a Generative Adversarial Network (GAN) with PyTorch

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 ...