AI systems that can inspect the lab’s data comprehensively have helped identify data inconsistencies, such as a cyclic error caused by incorrect machine loading.

“but also i mean i think another aspect to automation is uh robots will just be uh make fewer mistakes potentially in the lab and it's been really helpful having ai systems with a full view over all of our data because sometimes if there's like a permutation in data uh then it can identify it so for example”

“one of our steps at one point had a cyclic error because one of the machines was loaded incorrectly and the patterns were inconsistent so the AI was reading through these things and says well given what was run this is not expected and it's looking at this basket of data longitudinally and then it realized if I do this like cyclic permutation and reverse it everything is consistent and then we're able to go back to the physical infrastructure and understand understand”