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And they basically did this Cloud Dataflow and tram challenge, where they were trying to show that you can process about half a terabyte of data- and they had, was it 10.6 billion rows of data- while they were traveling on the tram down to Melbourne.Īnd they were doing this, so basically in 10 minutes is what I understood from that. And then, the last thing we wanted to mention for the week is that one of our colleagues, Felipe Hoffa, has done a cool thing where he went to Melbourne and he interviewed Graham Polly from Shine Tech, who's a GDG. Also, I'm just thinking about the fact that now Google Photos recognizes my dog as a person in my life. Just thinking back from when were talking last week about basically being able to train your models without having to have a PhD or something in machine learning, that's a really interesting application. So it's kind of a cool application of it. I think their goals for the future are definitely to help identify when there's injured animals, so that they can help them. But with AutoML Vision, they're working on trying to make that more, of course, automated and apply models in essence to do facial recognition.Īnd the intent is ultimately to help with tracking endangered species, helping to reduce poaching.
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They've had to do a lot of manual labeling in the past. They're using a large set of images that have been collected from cameras in the wild. So another cool thing of the week is that the Zoological Society of London has teamed up with Google, and they're using the Cloud AutoML Vision tool API that we released, and they're doing basically facial recognition on endangered species. No, I really like that about the platform, too. Yes, and it's also nice that it's analysis tool agnostic. So I'm actually really excited about OpenCensus, so I can't wait to have them on the episodes.
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So you can see some code and some of the stuff that people are writing to use it with. We should have them on the podcast soon.īut we will link to the announcement blog post that has some really pretty pictures about what can be done with it, as well as a Medium publication that is coming out of the community from- I'm going to hope I get this right- Daz Wilkin, talking about using OpenCensus with Prometheus and Stackdriver as well. It's an open source project that is meant to be a trace and metrics open source tool that will work with a variety of backends and stats providers and tracing things, like Zipkin or Prometheus or Stackdriver, and a bunch of other ones as well. We've probably talked about this a little bit in some previous episodes, or at least those types of things in previous episodes, but this is actually really cool. I wanted to definitely bring up a project that was announced recently on the Google Open Source blog, a project called OpenCensus, which is a stats collection and distributed tracing framework.
Yeah, let's talk about cool things of the week. So before we get into that, let's talk about cool things of the week. We're going to talk about if you wanted to know what the news is of the week, there's a nice summary round-up, and we're going to point you to where that is. We're going to be talking to Mike, who's the co-founder and CEO of Percy.io, and they are doing visual diffs.īut as always, before we get into that, we're going to do cool things of the week, and we're going to have a question at the end of the week- at the end of the week? At the end of the actual talk. We've got a good podcast for us this week.