Based on my expertise, I like to classify synthetic data into the following three primary types: fake or rule-based generation, simulations and, last but not least, data-driven generation through ...

Or models trained on fake data could simply fail to produce anything new. Golshan calls this a “death spiral,” but it’s more widely known as a “model collapse.” ...

In the paper, lead author Ilia Shumailov and his team describe what they call "model collapse," and how it becomes worse each time models feed the next model with fake data.

Researchers are calling into doubt the popular idea that deep-learning models are “black boxes” that reveal nothing about what goes on inside Load up the website This Person Does Not Exist and ...

Companies rely on real-world data to train artificial-intelligence models that can identify anomalies, make predictions and generate insights. But often, it isn’t enough. To detect credit-card ...