Re:Ask HN: Does ML research ever get translated to industry?
by mostafab on Sunday January 06, 2019 @10:38AM
(#18838798)
Because researchers have little incentives to commercialize their research, especially in academia. They take pride of this insulation from the 'real world'. That's the root cause why research metrics are different from industry metrics.
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Re:Ask HN: Does ML research ever get translated to industry?
by eghri on Sunday January 06, 2019 @11:02AM
(#18838935)
As someone who works in applied ML but tries to stay heavily on top of research, I think it’s this. I am always stunned when I try to recruit people, talk with folks at conferences, or even look for jobs myself how few people care about commercialization. I’ve seen this attitude grow a lot in corporate R&D in recent years too as they pull in more academics with promises of independence from the “business grind”.
Re:Ask HN: Does ML research ever get translated to industry?
by idan_pan on Sunday January 13, 2019 @04:19PM
(#18898755)
I'm not sure that it is just lack of interest in commercialisation, though that does exist.
I think that the academy and industry work in different scale.
In the industry low risk short term project have high value.
The academy aims for novelty which usually means high risk and longer terms.
Companies that aim to high risk longer term are usually either start up that that project is their core or large companies that can afford failing 9 out of 10 projects and have the benefit form the others to return the investment in 5 years.