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The list of activities in which artificial intelligence machines have bested humans is increasing at an alarming rate. Face recognition, object recognition, chess, Go, various video games, and numerous other tasks have all fallen in this battle.


Today, we get an answer of sorts thanks to the work of Mohit Iyyer at the University of Maryland in College Park and a few pals. These guys ask how well artificial intelligence can understand comic books and can hardly resist punching the air in revealing that the machines come a sorry second in comparison to humans.

This complex process of viewing an individual panel and understanding how it connects to previous ones is called “closure.” And for the moment it is a uniquely human ability.

That’s why Iyyer and co devised an experiment to test how well machines can perform it as well.

The results are eyebrow-raising. While humans can predict the next piece of text or the next image correctly more than 80 percent of the time, the machines never come close to this level of accuracy. “None of the architectures outperform human baselines, which speaks to the difficulty of understanding comics,” say Iyyer and co. “Image features obtained from models trained on natural images cannot capture the vast variation in artistic styles, and textual models struggle with the richness and ambiguity of colloquial dialogue highly dependent on visual contexts.”

Sam

Nov 28 2016, 12:14 PM

It's too random and has too many variables.