A Google engineer named Daniel Patt created an AI-powered platform to help descendants of Holocaust victims identify images of their relatives. This is reported by The Times of Israel.
The From Numbers to Names (N2N) platform scans the United States Holocaust Memorial Museum’s (USHMM) collection of about 34,000 photos, as well as photographs of individual survivors and their descendants.
To use the tool, you need to upload a portrait of the person in question from roughly that era. As a result, the service will present 10 potential matches found in the database.
According to Patt, there is not yet a single list of Holocaust victims. He believes these efforts are urgent as survivors become fewer.
“We hope that N2N will help forge these connections while survivors are still with us,” said the engineer.
The inspiration for the tool came from visiting the POLIN Museum of the History of Polish Jews in Warsaw in 2016. At first he worked on the project solo in his spare time. Later other engineers, researchers and data specialists joined him.
In the future, the non-profit hopes to collaborate with museums, schools, research institutes and other organizations that share goals in Holocaust education.
“Looking ahead, we would like N2N to become an educational resource about the Holocaust, giving students the opportunity to contribute directly to historical records,” Patt said.
In March 2021, the genealogical company MyHeritage introduced the Deep Nostalgia service for creating the illusion of motion in static portrait photographs.
In April, engineers taught “live” photos to dance and send a kiss in the air.
In March 2022, MyHeritage, together with the startup D-ID, presented the LiveStory tool, which makes photographs talk.
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