johnny comelately wrote: ↑
Thu Mar 17, 2022 4:54 am
The original point of the topic was what is said in the title as an example of it's usage.
The fact that there are articles out there saying they use it doesnt show even a small detail of how it works and the more importantly examples of significant results, and as distinct from correlation between data and simulations.
The AWS stuff is fairly straightforward from what my very limited knowledge understands, but I was imagining much more complex usage, which by the way when I started considering this subject because of the Masi incident, is limited to the singular systems of PLC logics
, iterations in basic CFD simulations, differential diagnosis, and plain old what if's (in spreadsheets or otherwise) and some very basic correlating between engine data and simulations.
So having tried to focus the subject a bit more this lecture from Yale University puts some knowledge and perspective on the subject in a broader sense.
busted arse ex race mechanic
Interesting what you said about PLC... Yes, PLC is more of switching and controlling type of purpose. I think this is too basic and too "sudden" for any complicated incident so that is why Masi and Co. still have to deliberate over things. In the example a damaged barrier, a marshall has to inspect then send a signal to race control, then race control can decide if double waved or red-flag based on the situation at that location and other locations. If it were 100% down to the PLC programme would would need in the first place have to have these other situations on their own progamme ladders, and let's say it did, it would throw flags extremely fast without any form of judgement. So yeah, PLC should be limited to just switching and controlling.
The "meatier" judgement and control through machine learning, similar to what companies like Tesla, ZooX (Amazon) and Goolge does would be interesting to see for race control, but I know because human lives are at stake, they would have have it as only a suggestive sort of thing. Applying this for strategies I think as you said, is perfect application of AI and machine learning. But it would sorta lead us to the "efficient choices" situation: if all teams made the most efficient choices, then, will strategy not matter anymore?