The FaceApp and its Underlying Technology

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.

Click here to learn more.

Related Insights

Evolutionary Design of Deep Neural Networks

Artificial Intelligence is the science of combining technological and theoretical concepts from multiple...

Automated Knowledge in 2020: What to Expect from AI & Machine Learning

The year 2019 will be remembered in the software world as the year when containerization, cloud native...
Blog post

How Machine Learning can Increase the Autonomy of Electric Vehicles

The Automotive domain is evolving fast. If 5 years ago software written in ECUs was simple and some might...

Contact us to learn more

Ness likes to work collaboratively with its customers, so please ask us questions if you would like to learn more about our services. We look forward to answering them.
Browser warning
We noticed that you are using Internet Explorer. Not all of our website’s functions will work on Internet Explorer. For a better experience, we recommend that you visit us on a different browser. Click here for a list of the latest versions.