FaceApp with age filters went viral in recent days. It’s ability to transform a facial picture to make it change expressions, look older, younger and more, has become extremely popular. So, what’s the underlying technology behind the FaceApp? Moshe’s recent article for Forbes India states how FaceApp provides an excellent springboard to examine the state of Machine Learning at the nexus of topics such as technology, virality, and privacy.
The article also highlights one of the important takeaways from FaceApp: in 2019, there is no barrier to entry for Machine Learning. “Any Python programmer can create a world-class application that harnesses the latest academic breakthrough algorithms without having to understand the details of those algorithms,” says Moshe. This creates tremendous opportunities for innovation; e.g., how you combine those algorithms, what problems you solve using those algorithms, where you find training data.
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