> allthough one would think they'd get 0% alcohol related cancers
I assume "alcohol related" in this context means that alcohol consumption increases the risk for those types of cancers, but you might still get those types of cancers even if you have never consumed any alcohol. And "less than once drink per week" is assumed to be almost the same as never consuming any alcohol at all, so 17% is the risk for women who never consume any alcohol.
Unreliable as in noisy in a way that I could not fix with temporal averaging. I tried to guide a robot arm to pick up the top object in a bag of evenly colored objects, but RealSense gave me randomly fluctuating values and rather large undefined areas (areas that were blocked from the view of one of the two sensors). The ToF sensor gave solid values even outside when it was snowing. Of course the ToF sensor had other problems, high requirements for power and cooling, and perhaps worse performance in very strong sunlight.
Unfortunately sometimes even experienced people make mistakes that a recent graduate should not do (but in practice sometimes does). AI models can help avoid mistakes that in hindsight were obvious and should never have happened.
I assume "alcohol related" in this context means that alcohol consumption increases the risk for those types of cancers, but you might still get those types of cancers even if you have never consumed any alcohol. And "less than once drink per week" is assumed to be almost the same as never consuming any alcohol at all, so 17% is the risk for women who never consume any alcohol.