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In academia most professors are doing some or most of their projects for the source of funding, which I think is not too much about public good anyway. I think
by eva1984 10y ago
In academia most professors are doing some or most of their projects for the source of funding, which I think is not too much about public good anyway.
I think it is about time for machine learning researchers to go to industry, there isn't that much data in academia. Good public datasets are rare, like ImageNet, and have been basically overfitted to the core. In industry, it is totally another story.
- lqdc13 10y agoThey are usually private datasets and details of the training are not usually disclosed. There could also be duplicated effort by every company competing in the field. There is also the side that it would make it harder for startups to compete as the progress is made on training on large datasets using huge clusters of machines. Such datasets and compute power is impossible to acquire for small companies.
- adrianN 10y agoSo maybe we need to start funding the acquisition of large public datasets in academia?
- newjersey 10y agoThe fact that Stanford University creates patents from publicly funded research then turns around and sells them to non manufacturing entities makes me wary of pumping any new public money into research at universities. They're clearly corrupt to the core now.
- thansharp 10y agoI haven't heard of this before. This is pretty interesting. Do you have a source?
- rhinoceraptor 10y agoThere was recently an episode of Planet Money about one instance of it: http://www.npr.org/sections/money/2016/06/10/481597112/episode-705-the-muscle-patents http://www.npr.org/sections/money/2016/06/10/481597112/episo...
- taliar 10y agoOr somehow incentivize companies to follow an academic model.