Young Startup Wants to Train AI Better, Faster Using Synthetic Data

It's because of the concept's many possibilities: object recognition in pictures and videos, anticipating cybersecurity threats, finding specific kinds of people amid thousands or millions in a data set. They all need to run data to learn what it is they're looking for. What if there isn't enough data to make the algorithms as good as they need to be? Or what if it takes too long to collect and prepare that data? An early stage startup that just entered a northern Virginia cybersecurity accelerator thinks it has the solution: fake data.