Which Line Would You Pull To Catch The Fish? Our Deep Learning Networks Don’t Know.

You may have seen something similar to this image on a paper placemat at a restaurant. This is a simple puzzle intended for kids — using their fingers, young children can trace the line and “catch the fish”. Can a computer do this? — Absolutely. Most programmers will propose efficient algorithms to solve this simple puzzle. The real question is — can any Deep Learning software solve it? Deep Learning uses enormous amounts of data and artificial neurons to perform certain tasks as well as…

DESPITE ADVANCES IN NATURAL LANGUAGE PROCESSING, STATE-OF-THE-ART SYSTEMS STILL GENERATE SENTENCES LIKE “TWO DOGS ARE THROWING FRISBEES AT EACH OTHER.”

Natural Language Processing (NLP) is a branch of AI research that focuses on how machines understand human language. It is vital to many machine learning projects, as it allows us to understand and quantify how well humans can communicate with machines. Although NLP has taken great strides recently, the auto-generated caption on the photo above shows us that we are further away from common-sense AI than some might think. For example, an AI system generated this caption: “Two dogs are throwing frisbees at each other”. Measuring the common-sense reasoning abilities of our algorithms is very important, because it shows us…

Darius at Leela AI

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