Silicon Valley’s AI Ethics Boards Shouldn’t Be Secret

Questions about AI are increasingly urgent — but the corporate boards dedicated to addressing them have long been too tight-lipped.

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AI/ML: GAN to WGAN

This post explains the maths behind a generative adversarial network (GAN) model and why it is hard to be trained. Wasserstein GAN is intended to improve GANs’ training by adopting a smooth metric for measuring the distance between two probability distrib... (more…)

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