AI2 lists top artificial intelligence systems in its Visual Understanding Challenge

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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