6 ms·

I agree with most of what you're saying, but 7 seems way off. Maybe it's field-dependent? I would say that in e.g. mathematics, physics and neuroscience, almost

by gspr 5y ago

I agree with most of what you're saying, but 7 seems way off. Maybe it's field-dependent? I would say that in e.g. mathematics, physics and neuroscience, almost all good papers come from academic labs.

nawgz 5y ago
> mathematics, physics, and neuroscience I can't imagine two things making less tangible ("industrial") value than Mathematics and Neuroscience today. Physics is too big a field to make such an asinine comment on at least
- akiselev 5y ago
  Less tangible value than mathematics? The last few decades have been a golden age of linear and constraint programming research. The impact they've had on logistics alone is incalculable - it's changed how everyone does business from Ford and Fedex down to Uber drivers. Almost every mass manufacturer in the world uses them in one way or another to optimize their processes. I can't imagine an academic field that has had more impact on industry.
  - effie 5y ago
    That is interesting. Can you give some concrete example of how linear programming optimized some process?
    - akiselev 5y ago
      Most trivial and ubiqitous example is CAM which finds the path a CNC machine tool should take to translate a 3D model into a real part as efficiently as possible. At this point probably every physical product on the market involves CAM work somewhere in its production, either for the product or the machinery making it.
      - effie 5y ago
        Thanks for answering, however I tried to search for "linear programming in CAM" and also skimmed wikipedia on CAM and linear programming and came up with nothing. Can you please point me to some resource on this?
- gspr 5y ago
  I highly disagree with you, but that's besides the point. Even supposing you are right, how does this relate to the point I was making? (I also find it amusing that you categorize physics as "too big to make such an asinine comment about", but mathematics not)
  - nawgz 5y ago
    > how does this relate to the point My point is that the only counterexamples you could find to "industry labs > research labs" were in completely non-industrial scenarios like Mathematics and Neuroscience, two famously theoretical disciplines Mathematics might be plenty large in theory-space, but real-world applicability is much more the domain of physics and thus I would expect many real-world applications to arise from it. So, to me, it's clear one cannot say Physics doesn't deliver on the physical from time to time
derefr 5y ago
There are “industrial labs” for mathematics? (I would think that an implicit qualifier here is “in fields where there is actually an incentive for industry to do field-advancing research, to create + own the resulting IP.”)
- gspr 5y ago
  Highly applied mathematics, yeah.
- aliasEli 5y ago
  The NSA is probably the biggest employer of mathematicians in the world. Unfortunately they don't publish very frequently.
___luigi 5y ago
I am a bit biased [1] [2], I work on ML. That was my naive observation. [1] https://www.natureindex.com/news-blog/google-scholar-reveals-most-influential-papers-research-citations-twenty-twenty https://www.natureindex.com/news-blog/google-scholar-reveals... [2] https://www.natureindex.com/news-blog/google-scholar-reveals-most-influential-papers-research-citations-twenty-nineteen https://www.natureindex.com/news-blog/google-scholar-reveals...

by gspr 5y ago

nawgz 5y ago

> mathematics, physics, and neuroscience I can't imagine two things making less tangible ("industrial") value than Mathematics and Neuroscience today. Physics is too big a field to make such an asinine comment on at least

akiselev 5y ago
Less tangible value than mathematics? The last few decades have been a golden age of linear and constraint programming research. The impact they've had on logistics alone is incalculable - it's changed how everyone does business from Ford and Fedex down to Uber drivers. Almost every mass manufacturer in the world uses them in one way or another to optimize their processes. I can't imagine an academic field that has had more impact on industry.
- effie 5y ago
  That is interesting. Can you give some concrete example of how linear programming optimized some process?
  - akiselev 5y ago
    Most trivial and ubiqitous example is CAM which finds the path a CNC machine tool should take to translate a 3D model into a real part as efficiently as possible. At this point probably every physical product on the market involves CAM work somewhere in its production, either for the product or the machinery making it.
    - effie 5y ago
      Thanks for answering, however I tried to search for "linear programming in CAM" and also skimmed wikipedia on CAM and linear programming and came up with nothing. Can you please point me to some resource on this?
gspr 5y ago
I highly disagree with you, but that's besides the point. Even supposing you are right, how does this relate to the point I was making? (I also find it amusing that you categorize physics as "too big to make such an asinine comment about", but mathematics not)
- nawgz 5y ago
  > how does this relate to the point My point is that the only counterexamples you could find to "industry labs > research labs" were in completely non-industrial scenarios like Mathematics and Neuroscience, two famously theoretical disciplines Mathematics might be plenty large in theory-space, but real-world applicability is much more the domain of physics and thus I would expect many real-world applications to arise from it. So, to me, it's clear one cannot say Physics doesn't deliver on the physical from time to time

derefr 5y ago

There are “industrial labs” for mathematics? (I would think that an implicit qualifier here is “in fields where there is actually an incentive for industry to do field-advancing research, to create + own the resulting IP.”)

gspr 5y ago
Highly applied mathematics, yeah.
aliasEli 5y ago
The NSA is probably the biggest employer of mathematicians in the world. Unfortunately they don't publish very frequently.

___luigi 5y ago

I am a bit biased [1] [2], I work on ML. That was my naive observation. [1] https://www.natureindex.com/news-blog/google-scholar-reveals-most-influential-papers-research-citations-twenty-twenty https://www.natureindex.com/news-blog/google-scholar-reveals... [2] https://www.natureindex.com/news-blog/google-scholar-reveals-most-influential-papers-research-citations-twenty-nineteen https://www.natureindex.com/news-blog/google-scholar-reveals...