A Google programmer has created a neural network to help find ancestral photos
The unique artificial intelligence was created by Daniel Patt, a software engineer from Google. The program compares the faces of our contemporaries with images of hundreds of thousands of Holocaust survivors or victims. In this way, people are able to find their own ancestors.
Patt created the From Number to Names (N2N) platform. She scans photos of people who lived during the Holocaust and ‘compares’ them with the faces of our contemporaries.
In order to find your own ancestors, you need to upload your own photo of the person to the site. As a result, artificial intelligence scans images from the Second World War and produces variants of photographs that, in his opinion, may be your relatives.
The programmer admits that it is not necessary to talk about 100% accuracy: the system simply produces images with similar people.
Patt is currently trying to expand his own database by supplementing his collection of World War II photographs through collaborations with schools, museums and research organizations.
Earlier we reported that the leaders of the IT industry – Meta, Microsoft, Adobe, Epic Games, Nvidia and 30 others – became members of the Metaverse Standards Forum. This is the group that will be responsible for the development of common standards for meta-universe technologies.
