Kevin Kelly writes about software created by Dmitri Bitouk and Neeraj Kumar of Columbia University that "de-indentifies" people in photos to protect their privacy.
Face swapping software finds faces in a photograph and swaps the features in the target face from a library of faces. This can be used to "de-identify" faces that appear in public, such as the faces of people caught by the cameras of Google Street View. So instead of simply blurring the face, the software can substitute random features taken from say Flickr's pool of faces. A mouth here, an eye there.
Face Swapper Privacy (Conceptual Trends and Current Topics)
The text of the proposed legislation has not been released.
“YouTube is disabling all comments on videos featuring young children as it attempts to head off an organised ring of paedophiles who were using its site to trade clips of young girls in states of undress,” says the Guardian’s Alex Hern.
The company says 190 employees in Santa Clara and Sunnyvale, CA will lose their jobs.
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Big companies want automation on a big scale. Doing that means diving into the tricky world of machine learning and data science. And no matter what platform you’ll be implementing it on, you can learn how with the Machine Learning & Data Science Certification Training Bundle. In 48 hours and through eight courses, this bundle […]
Big systems need tight security – and the experts who can implement it. Cisco Networking Systems are the go-to providers for network infrastructure, but maintaining it takes a lot of up-to-date knowledge. If you want that knowledge right from the source, there’s an online course that can get you certified painlessly: The Foundational Cisco CCNA […]