DeepMind AI reacts to the physically impossible like a human infant
"We found that PLATO passed the test in our physical concepts dataset," he said."But when we trained flat models that were as big or even bigger than PLATO – but didn't have object-based representations – we found that they didn't actually pass all of our tests suggesting that objects really are a critical part of physical understanding."
In an accompanying article, Susan Hespos, professor of psychology at Northwestern University, and Apoorva Shivaram of Western Sydney University, Australia, said the finding confirmed understanding of the development of perception in humans as well as advancing AI. "The findings indicate that visual animations can account for some intuitive physics learning, but not enough to account for what we see in infants. In other words, the computational models require some principled knowledge about how objects behave and interact to match the level of learning that is commonly seen in infants," they said.
While a wealth of AI applications might benefit from a bit of real-world physics – self-driving cars anyone? – the authors stressed that the finding was really about helping other studies in AI. Piloto told journalists:"I think physical understanding is pervasive. It's hard to talk about specific applications because we think it's a little bit more general than that. It really kind of depends on what researchers want to do with it. The point of this work is to establish a benchmark so that people [realize] how well their models understand the physical world. We don't have a view on what they want to do beyond that point.
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