The Department of Homeland Security (DHS) has launched a $1.5 million contest in hopes of developing artificial intelligence algorithms that can better identify concealed weapons that appear in airport checkpoint body scanner images. The contest will run for six months on Kaggle, a Google-run website visited by more than a million data scientists. The DHS hopes the data scientists can build algorithms that do a better job of allowing deep neural networks to identify weapons in images.
The prizes at stake in the contest are considerable. The first place winner will receive $500,000. Second place will get $300,000, and third place $200,000. The fourth through eighth place winners will take home $100,000 each.