AI2 lists top artificial intelligence systems in its Visual Understanding Challenge

For AI2’s Charades Challenge, visual systems had to recognize and classify a wide variety of daily activities in realistic videos. This is just a sampling of the videos. (AI2 Photos) Some of the world’s top researchers in AI have proved their mettle by taking top honors in three challenges posed by the Seattle-based Allen Institute for Artificial Intelligence. The institute, also known as AI2, was created by Microsoft co-founder Paul Allen in 2014 to blaze new trails in the field of artificial intelligence. One of AI2’s previous challenges tested the ability of AI platforms to answer eighth-grade-level science questions. The three latest challenges focused on visual understanding – that is, the ability of a computer program to navigate real-world environments and situations using synthetic vision and machine learning. These aren’t merely academic exercises: Visual understanding is a must-have for AI applications ranging from self-driving cars to automated security monitoring to sociable robots. More than a dozen teams signed up for the competitions, and the algorithms were judged based on their accuracy. Here are the three challenges and the results: Charades Activity Challenge: Computer vision algorithms looked at videos of people performing everyday activities – for example, drinking coffee, putting on shoes while sitting…


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