![]() ![]() Only teams associated with US businesses or universities may participate in the ASAPS challenge. In all, there are more than 60 emergency events in the data across eight hours of life in a simulated city, recorded with actors and actresses at a Department of Defense training facility in Indiana. There is also fake 911 call audio and synthetic gunshot-detection sensor data. In that competition, teams analyze a combination of text, photo, and video data as well as mock Facebook and Twitter posts. ![]() The US is also encouraging AI researchers to develop smart-city surveillance technology with ASAPS, a competition to make AI that helps emergency operators predict when they should dispatch an ambulance, fire engine, or police. Chinese firms including Alibaba-backed Megvii performed well on facial-recognition accuracy tests from the National Institute for Standards and Technology. A pilot program found that City Brain reduced congestion and helped clear the way for emergency responders.Ĭhinese companies have done well in other US-sponsored assessments of surveillance technology. Alibaba’s City Brain tracks more than 1,000 traffic lights in the company’s hometown of Hangzhou, a city of 10 million people. Spokespeople for Alibaba and Baidu declined to comment, but advances from smart-city challenges can help fuel commercial offerings for both companies. ![]() But selfishly, we also want this technology to develop here and improve our economy,” Caldwell says. “We want the technologies to develop, because we want to improve safety and efficiency and sustainability. ![]()
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