You could train a GAN on the male employees and then use the GAN to generate synthetic male data items. A good way to see where this article is headed is to take a look at the screenshot of a demo ...

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 ...

The benefits of AI are concentrated in areas where data is available. Synthetic data promises to fill the gaps. Synthetic Data Vault, Syntegra, Datagen, Synthesis AI Now Last year, researchers at Data ...

Most synthetic data sets are generated on the basis of real-world data, and the entire data production chain from data collection to elaboration introduces biases into the original data sets. 64 Like ...

Could synthetic data be the solution to rapidly train artificial intelligence (AI) algorithms? There are advantages and disadvantages to synthetic data; however, many technology experts believe that ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Dr. James McCaffrey of Microsoft Research explains a generative adversarial network, a deep neural system that can be used to generate synthetic data for machine learning scenarios, such as generating ...