5min chapter

Machine Learning Street Talk (MLST) cover image

#64 Prof. Gary Marcus 3.0

Machine Learning Street Talk (MLST)

CHAPTER

The Compositional Models of the Real World

Qouse: I think we're capable both of representing abstractions and concrete stuff. In particular, what's really driving it is creating symbolic representations of the parts that are intended to be stable across context. And i can't speak to the technical details ecause i haven't read the paper yet. Is it published yet? Just publishdi, i need to read the paper before i say too much. But i will say that the act characterization of what he's doing, i think, is both right and a step towards nero symbolic cognition. It's taking a play book that is very clearly understood in the symbolic world of constructing holes out of their parts. So you could imagine, for

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