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Given all that, where are professors supposed to find and hire students who don't want to stay in academia themselves? I think a lot of these students wind up being aspiring immigrants, and I'm not surprised that a lot of them would also have a hard time finding a place for themselves after graduating and that many of them would leave. Also, the abstract seems to argue that that US still benefits greatly from this arrangement: "though the US share of global patent citations to graduates' science drops from 70% to 50% after migrating, it remains five times larger than the destination country share."
The whole system essentially self selects for cheap labor and exploitation.
If the feds put a high salary requirement on it like the E or O series visas, perhaps the system might change.
The scientific minds of India, China, and Russia don't come to the US and slave away in the lab purely out of passion for advancing science, they do so because it's a path towards the green card. The PIs and laboratory heads all know damn well how the system works, they are no better than those bosses of H1B sweatshops, except perhaps they do their exploitation from ivy filled ivory towers rather than in Patagonia vests.
How does cross data center nodes work?
Neural networks are more limited of course, because there's no way to expand their equivalent of memory, while it's easy to expand a computer's memory.
The thing that's wrong with Ocado's technology is that it's ridiculously expensive and tailored for huge FC's (fulfillment centers). The problem with that is that it needs to serve a large population base to be effective and that's hard - in dense metros, the driving times are much longer despite smaller distances. In sparse metros, the distances are just too long. In our experience, the optimal FC size is 5-10K orders/day, maybe up to 20K/day in certain cases, but the core technology should certainly scale down profitably to 3-5K. Ocado solves for scaling up, what needs to be solved is actually scaling down.
There are a lot of logistical challenges outside the FC, especially last mile and you need to see the system as a whole, not just optimize one part to the detriment of all others.