Graph-Powered Machine Learning at Google

Re:Graph-Powered Machine Learning at Google by mindcrime on Friday October 07, 2016 @08:51PM (#12665027)

By nature the only companies that will ever have access to this data in a meaningful way are going to be larger companies: Google, Amazon, Apple, ect. Because of this I worry that small upstarts may never be able to compete on these type of products in a viable way as the requirements to build these features are so easily defensible by the larger incumbents.

Wow, what's with all the fatalism around here? C'mon, people have been making variations of this argument for hundreds of years, but small companies still keep coming along and knocking the KOTM off its perch. There's always a new way to do things, a new angle, a new hack, something that hasn't been done before, that can (somewhat) level the playing field (for a while).

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Re:Graph-Powered Machine Learning at Google by etangent on Friday October 07, 2016 @08:59PM (#12665066)

1) Buy a $200 drone, fly it around for a day and record video output.

2) Write a web scraper and run it for a day on an AWS instance.

3) Download any of the publicly released data sets. There are lot of interesting ones out there, including medical imaging, etc.

4) Hack a video game engine to generate data.

5) Write your own data generator (could even be a generative NN model). Not all data can be simulated, but when it can be, doing so is incredibly powerful.

A few of the above options were not available just 5-7 years ago. Data is becoming more publicly accessible, not less.

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Re:Graph-Powered Machine Learning at Google by jbpetersen on Saturday October 08, 2016 @02:17PM (#12667954)

That doesn't preclude the same outcome as globalization where the "rich" accumulate a much greater proportion of overall wealth while the "poor" are still left much better off in absolute terms. To say nothing of falling in-between.

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