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G. Hussain Chinoy
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G. Hussain Chinoy

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Tensorflow and deep learning - without a PhD. The slides from my Tel Aviv presentation and if you scroll to the last slide, there is even a step-by-step codelab: https://goo.gl/pHeXe7

Everything you need to know to solve a problem that has kept generations of PhDs busy, with 100 lines of Python/Tensorflow code.
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The future of storyboarding?
Or, rather, quick! Someone code the future of storyboarding!

#verticalcomic
Infographic adaptation of Star Wars A New Hope, 123m (403.5 ft) of scrolling
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Imgur: The most awesome images on the Internet.
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I gave a keynote talk at GCP NEXT a couple of months ago, and as part of that, I demoed this nice visual explorer that folks at Google built to demonstrate the Cloud Vision API. You get to fly through a point cloud of tens of thousands of images, annotated and clustered automatically by Google's Cloud Vision API. As of today, this demo is now released to the public, so you too can play with it (requires a relatively recent version of Chrome).

You can learn more about the Cloud Vision API, which is now in GA ("General Availability") at https://cloud.google.com/vision/

Have fun!
CV Explorer shows you how to combine Cloud Vision API w/dimensionality reduction & cluster analysis so you can build a 3D catalog of an image repository
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Hey, look, an OnHub blog. Shame on me for not seeing it sooner. Now, with IFTTT integration!

#onhub  
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Start building for Daydream today with the @googlevr SDK. https://goo.gl/Ak1CKt
Google's suite of various VR platforms, aimed at allowing everyone to enjoy VR in a simple, fun, and natural way.
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Google developed their own chips for machine learning. "We started a stealthy project at Google several years ago to see what we could accomplish with our own custom accelerators for machine learning applications. The result is called a Tensor Processing Unit (TPU), a custom ASIC we built specifically for machine learning -- and tailored for TensorFlow. We've been running TPUs inside our data centers for more than a year, and have found them to deliver an order of magnitude better-optimized performance per watt for machine learning. This is roughly equivalent to fast-forwarding technology about seven years into the future (three generations of Moore's Law)."
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Some theorists say a radioactive decay anomaly could imply a fundamental new force
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#io16 summary - great points here about the scope and vision presented at IO.

a16z Podcast: Innovation vs. Invention at Google I/O by a16z
https://player.fm/1ZznUm #nowplaying
Innovation or invention? Platform or app? Vertical or horizontal? Strategy or tactic? Does the smartphone eat VR? And (not to get all existential about it or anything but), what is an app, really? a16z partners Benedict Evans, Connie Chan, Kyle Russell, and board partner Steven Sinofsky explore these tensions in this episode of the podcast as they share some quick reactions to Google I/O, Google's annual developer conference, where the company an...
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My favorite use of VR view yet. Build it once and it works across phones, PCs, and HMDs.
Minecraft is good for more than just killing mobs and making diamond swords. Explore our world: 52.10.69.181
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For Android developers, I'd like to especially point out this I/O video as one to watch. It covers some of the significant changes we have been making to platform behavior to improve battery life, changes which impact all apps.

We did a lot of the outreach to apps back in Marshmallow when doze was first introduces (since it is a rare case where it impacts all apps, not just ones that target a new platform version); however, with doze light in N, it is even more important that apps follow those recommendations so they continue to work correctly. We had to make the initial doze behavior in Marshmallow fairly conservative to mitigate its impact on existing apps... but now that we've had it out there and worked with developers to update their apps, we can start tightening the screws down. :)

The presentation also gives a preview of some significant behavior changes we plan on making to the platform in a future release, related to broadcast receivers and services. This is I think the largest application model change we have ever made to the platform, so it is well worth taking a look at it now so you can prepare for when it hits. Unlike doze, we plan (at least for now) on this being something that doesn't apply to existing apps, only apps that target the newer platform version. (And many changes you make today to have your app compatible with these future restrictions will also have a positive impact for our users on current devices!)
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Is there any place for software engineers that do not learn AI or Machine Learning in the next 10 years or does everyone have to learn it? "Machine Learning will be (or perhaps already is) such an important part of software engineering that everyone will have to understand where it fits in. But just like, say, database administration or user interface design, that doesn't mean every engineer will have to be an expert in doing machine learning -- it will be acceptable to work with others who are expert. But the more you know about machine learning, the better you will be at architecting a solution." We'll also need a machine learning testing regime comparable to how non-machine-learning software is tested now.
Answer (1 of 4): Machine Learning will be (or perhaps already is) such an important part of software engineering that everyone will have to understand where it fits in. But just like, say, database administration or user interface design, that doesn’t mean every engineer will have to be an expert...
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