Software Engineer Creates Artificial Intelligence Tool to Identify Holocaust Victims

Software Engineer Creates Artificial Intelligence Tool to Identify Holocaust Victims

A 40-year-old software engineer named Daniel Butt, who is also a Google employee, has created software that uses artificial intelligence (AI) and is able to help descendants of the Holocaust identify images of their loved ones. The Holocaust was an era in which Nazi Germans and their collaborators systematically murdered more than six million European Jews throughout Germany in an attempt to exclude these Jews from German society. The era began in January 1933 when Adolf Hitler and the Nazi Party took power in Germany. It ended in May 1945, when Allied forces defeated Nazi Germany in World War II. This genocide was carried out in massacres and mass shootings; for a policy of extermination through labor in concentration camps; And in gas chambers and gas vans in German death camps. In an interview originally reported by The Times of Israel, Pat talks about innovation.

For Pat later in 2016, walking past countless photographs of Holocaust survivors and victims at the Pauline Museum of Polish Jewish History in Warsaw, Poland, was unlike anyone else’s. Pat was obsessed with the possibility that he was passing the faces of his relatives without even knowing it. The creator of the project could not help this feeling, and as a result, Pat set out to find a creative solution. After putting creativity and experience to work, Pat eventually developed a program called From Numbers to Names (N2N), an AI-powered facial recognition platform that can scan images from pre-war and pre-Holocaust Europe, thus linking them to people living today. . N2N essentially provides a new way to explore Holocaust photo and video archives through artificial intelligence.

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Pat was inspired to create the AI ​​program after his family’s personal involvement in the Holocaust era. Three of her four grandparents are Holocaust survivors and she wants to help her grandmother find pictures of her family members killed by the Nazis. The report says his grandmother was only 9 years old when the war began and ran away with her father and siblings, while her mother, Pat’s grandmother, stayed behind. Pat’s great-grandmother was eventually killed during the Nazi invasion.

Software Engineer Creates Artificial Intelligence Tool to Identify Holocaust

According to the website of the United States Holocaust Memorial Museum (USHMM), there is no list identifying victims and survivors of the Holocaust, and searching to find people’s stories has proven to be a lengthy process that follows minimal clues and information. However, the museum is said to offer several on-site methods for families of survivors and victims’ to obtain information and documentation. To date, N2N has recorded a number of developments, one of which includes its use to search thousands of face-identifying images for the USHMM Museum, as well as individual survivors and descendants of survivors, including various celebrities.

Currently, N2N software is completely free and very easy to use. People who want to use the site will need to upload an image from about the same time period. N2N will scan hundreds of thousands of images previously made available by USHMM. The tool can also scan photos of survivors and their descendants. However, it only shows the top 10 potential matches available in the database, and the N2N team makes no software-based claims about the accuracy of identification, but leaves the judgment to the people who use the site. “We just show the results, in degrees of similarity, and let people decide if the results contain a positive identification,” Pat said in an interview. Hundreds of thousands of photos and videos are currently available on the site, and Pat revealed that he is working on getting an additional 700,000 photos from pre-Holocaust and pre-Holocaust times.

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Although the program is not perfect yet, Pat continues to work on it in his spare time and with his own resources. He was reportedly joined by a growing team of enthusiastic engineers, researchers, and data scientists as well. Together, they are constantly working to expand the scope and accuracy of the program. “We developed the project over the evenings and weekends for several months,” Pat said. “This effort is urgently needed as the last survivors pass, and there are many connections that can still be made. We hope N2N will help build those connections while the survivors are still with us.”

When asked about the future of N2N, Pat replied, “Going forward, we would like N2N to become a vehicle for Holocaust education, giving students the opportunity to contribute directly to the historical record.” “Students can use the software to help identify faces and artifacts in photo and video archives and possibly discover new links between living descendants of the Holocaust and their ancestors,” Pat added. In the future, Pat hopes to partner with more “museums, schools, research institutions, and other organizations that share common goals around Holocaust education and awareness, and more.”

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