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Philips Kokoh Prasetyo
Lives in singapore
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Philips Kokoh Prasetyo

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What it's like to have superhuman hearing ability: Here releases earbuds that are like #augmented #reality for your ears
With Here earbuds from Doppler Labs, you’re in control of your aural environment, and it’s pretty sweet.
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#Elasticsearch 2.2.0 released with a query #profiler and supercharged geopoint fields. https://www.
Today we are pleased to announce the release of Elasticsearch 2.2.0 based on Lucene 5.4.1, and bug fix releases of Elasticsearch 2.1.2, and Elasticsearch 1.7.5. All of these new releases are already available on Found, our Elasticsearch-as-a-service platform. This week’s release bonanza also includes new versions of Kibana, Logstash, Beats, and Elasticsearch-Hadoop.
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bash-handbook: http://bit.ly/1PUJMF4 - lots of great tips to level up your CLI productivity. Good read!
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Udacity released its newest course on deep learning (using TensorFlow):
http://blog.udacity.com/2016/01/putting-deep-learning-to-work.html
Our brand new Deep Learning Course, a collaboration between Google and Udacity, will have you learning and mastering these techniques!
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Today, Prime Minister Justin Trudeau helped us open our new Google Canada engineering and development HQ in Kitchener-Waterloo with a bang! #GoogleKW http://goo.gl/3rbNaA 
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Philips Kokoh Prasetyo

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Welcome to X, the moonshot factory!

Starting today, this is the place for all the latest updates on X projects and teams. Our new website, www.solveforx.com, has even more pictures, videos, and behind-the-scenes peeks at X.

“Hey!” You might say. “Aren’t you Google[x]? What happened to the Google? And the brackets?”

Well, Google[x] is now simply X, a part of Alphabet. Though we have a new name, our mission hasn’t changed: invent and launch “moonshot” technologies that we hope could someday make the world a radically better place for millions, or even billions, of people.

Our projects are designed to have the riskiness and ambition of early stage research and the focus and speed of a startup—+Project Loon, +Makani, and +Google Self-Driving Car Project are a few examples of what we’re up to. Our goal is to develop and de-risk these early stage ideas and turn them into proven technologies that make a real impact in the world—and create successful businesses along the way.

You'll also find information on this page about We Solve For X, our global community. We Solve for X (previously known as Solve for X) aims to bring together moonshot thinkers from all over the world to collaborate with each other on new ideas that have the potential to solve big global problems facing humanity.

Stay tuned—we’ll post updates here from time to time as projects move from the seemingly impossible to this-looks-like-it-just-might-work.
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Google engineers have experimented and developed a set of building blocks for the Internet of Things - an ecosystem of connected devices, services and “things” that promises direct and efficient support of one’s daily life. While there has been significant progress in this field, significant challenges remain before the IoT becomes a reality. 

In order to address these challenges, and to foster collaboration with the academic community, we are inviting university researchers to participate in the Internet of Things (IoT) Technology Research Award Pilot, which provides selected researchers in-kind gifts of Google IoT related technologies. 

To learn more about the technologies, and how to submit a proposal, visit the Research blog, linked below. Proposals are due February 29th. We look forward to seeing what you can do with our software and devices! 
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On building habits
These are the 4 principles I try to stick by whenever I’m building a new habit: start small, one at a time, remove barriers and stack habits. Try it!
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Comparing the performance of different kinds of #queries in #elasticsearch 
Comparing the performance of different kinds of queries in Elasticsearch.
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Procrastination is a bad habit. Yes, even when it comes to peeing. 
When nature calls, sometimes we don’t answer right away. Maybe you’re in the middle of an email. Maybe you’re on the phone, or you’re driving. We all hold our urine sometimes for various reasons, and while it’s harmless in the short-term, this video explains what happens to your body when you make a habit of doing this over time.
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By Suju Rajan Data is the lifeblood of research in machine learning. However, access to truly large-scale datasets is a privilege that has been traditionally reserved for machine learning researchers and data scientists working at large companies – and out of reach for most academic researchers. Research scientists at Yahoo Labs have long enjoyed working on large-scale machine learning problems inspired by consumer-facing products. This has ...
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Have them in circles
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Carolina Dewi Santoso's profile photo
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data mining mania, likes machine learning and natural language processing
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Currently
singapore
Previously
taipei, taiwan - surabaya - tainan, taiwan