[tensor]

AI will do neither of those things because curing or creating cancer requires physical experiments and trials on real people or animals, as does all science outside of computer science (which is often more math than science).

I can see AI being helpful in generating hypothesis, or potential compounds to synthesize, or helping with literature search, but science is a physical process. You don't generally do science just by sitting there and pondering, despite what the movies suggest.

[ozten]

There are a few fully automated wet labs and many semi-autonomous. They are called "Cloud Labs", and they will only become more plentiful. AI can identify and execute the physical experiments after using simulations to filter and score the candidate hypotheses.

[rooftopzen]

Sorry but your concept of AI is marketing driven. It's probabilistic, understanding is past your pay grade.

[tensor]

They're actually right in that there are several attempts to create automated labs to speed up the physical part. But in reality there are only a handful and they are very very narrowly scoped.

But yes, potentially in some narrow domains this will be possible, but it still only automates a part of the whole process when it comes to drugs. How a drug operates on a molecular test chip is often very different than how it works in the body.

[rooftopzen]

Exactly - AI allows for intersections in concepts from training data; up to the user to make sense of it. Thanks for stating this (I end up repeating same thing in every conversation, but is common sense).