I think this is one big obstacle for current research in IR. The time spent dealing with “infrastructure” is getting bigger. This leaves less time for real research. I think that, in the broad field of IR, “industry research” is going to produce much more results in the next years than “academia research”.
Google’s Peter Norvig is quoted saying – Google does not have the best minds, they have a great infrastructure that allows them to experiment much faster.
How can academia deal with this?
Kevembuanggasays:
LOL!!!
You are probably not old enough to know that rule:
No matter the size of the drive it is ALWAYS 95/98% full so for the “next run” (whatever this is) you have first to upgrade.
This is probably even more “solid” than Moore’s law.
In the very early 70s a 5 megabytes drive was “large”…
I think this is one big obstacle for current research in IR. The time spent dealing with “infrastructure” is getting bigger. This leaves less time for real research. I think that, in the broad field of IR, “industry research” is going to produce much more results in the next years than “academia research”.
Google’s Peter Norvig is quoted saying – Google does not have the best minds, they have a great infrastructure that allows them to experiment much faster.
How can academia deal with this?
LOL!!!
You are probably not old enough to know that rule:
No matter the size of the drive it is ALWAYS 95/98% full so for the “next run” (whatever this is) you have first to upgrade.
This is probably even more “solid” than Moore’s law.
In the very early 70s a 5 megabytes drive was “large”…
BTW, why not using outsourced storage and computation power?
The NYT did it:
http://open.blogs.nytimes.com/tag/hadoop/
(via Lukas Biewald http://www.lukasbiewald.com/?p=134 )