Re:Google Home
by visarga on Thursday May 19, 2016 @10:26AM
(#11730435)
> In the near future, it will all be about having large amounts of data, and processing power;
Deep Learning doesn't actually require "Big Data". They went from thousands of examples to millions or billions, but we can scrape that kind of data with open source tools, record with cheap cameras, sensors, etc.
Also, there is a lot of research into scaling big models to small hardware. We can run pretty decent AI on cell phones and small systems.
Third, the AI academic research community is pretty open and posts everything, often including code and datasets. This enables rapid progress, but essentially, it brings knowledge in the public domain. We need that to continue in order to have access to the best algorithms.
It will be much easier than you think to have open source implementations of the best AI tools.
Deep Learning doesn't actually require "Big Data". They went from thousands of examples to millions or billions, but we can scrape that kind of data with open source tools, record with cheap cameras, sensors, etc.
Also, there is a lot of research into scaling big models to small hardware. We can run pretty decent AI on cell phones and small systems.
Third, the AI academic research community is pretty open and posts everything, often including code and datasets. This enables rapid progress, but essentially, it brings knowledge in the public domain. We need that to continue in order to have access to the best algorithms.
It will be much easier than you think to have open source implementations of the best AI tools.