You may be able to normalize the labeled images by removing the background. I found some OCR examples of doing that with bluring and subtraction. The same normalization steps could be run on smartphone images taken with a consistent background.

Hm. Ok, so 'white sheet of paper' would qualify I guess. Then only white parts would be hard :)

How about if it already knows you're Jim? I think understanding context is holding it back. Azure Cognitive Services has a speaker recognition service. I'm hopeful that Amazon will get there.

Delivery room experience: before stitching my wife, the OB counted the pieces of gauze out loud with the nurse watching. They verbally confirmed the total with each other. A matching count and verbal confirmation were performed after the stitching. It inspired confidence seeing them perform this protocol.

With gauze in particular I think every nurse has a story of "that time we removed the septic gauze" with colorful descriptions of the accompanying smell.

This is only a bad thing if you feel compelled or addicted to reading these books. There is nothing wrong with always having a better book ready until you obsess about it.

Cloud9 also supports remote ssh workspaces which is very useful. The default workspace runs inside a container where you have root. They give you a public https route mapped to the container.

How does sexual harassment law work here? I didn't like his comment about your breasts.

I took that as his implication. In my experience there is also selection bias.

The parent was actually reply in the style of the AI program

Perhaps we really do have cause to worry about ELIZA, after all.

Do you really think, we do have cause to worry about ELIZA after all?

Tell me more about do you really think we have cause to worry do about have ELIZA.