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Generalized scene understanding is still a hard problem in both academia and industry. The big companies are working on such things with access to tons of data.

Assuming you do know what’s in the scene semantically most ar applications that aren’t games do intend to use that information. I’d say the primary hurdle there is still general scene understanding.

It’s easy to identify a sudoku puzzle but not so easy to identify and classify all 3D objects with any sense of precision yet. Seems like a large scale data play to me..



Definitely. Not everything I’d like to do is possible at the moment but Machine Learning is getting better so fast that more and more will become feasible bit by bit.

I have a bunch of ideas that seem like low hanging fruit, a bunch that seem hard but possible, and a lot that will be possible someday. And hopefully I can help accelerate that timeline.




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