As I had to explain to the execs at a lab on a chip startup I was helping to put together, you're generating the proposition of what the data might be that still needs to be qualified with physical testing, and not actual data.

This concept seems to be worryingly lost in the flurry of excitement at using ML/AI in academic research by some.