The Defense Innovation Unit is looking for participants in its second computer-vision artificial intelligence challenge, this time to identify building damage in post-disaster areas. The xVIEW2 challenge, to start in early September, asks machine learning experts to develop algorithms and models to analyze post-disaster satellite imagery to improve mapping. Understanding the scale of disasters is still an often dangerous and time-consuming process that slows first responders. With AI analyzing satellite imagery, the Department of Defense hopes to improve response time and effectiveness in those critical moments. Competitors will be judged on their ability to identify buildings and score how badly damaged they are.