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Yuriy Chesnokov
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In the "Google and the World Brain" film, Kevin Kelly, a co-founder of Wired magazine, recounts a prophetic conversation with Google co-founder Larry Page in the earliest years of Google’s existence. He asked Mr. Page “why would anyone want to build another search engine when we have Alta Vista?” Mr. Page responded: “It’s not to make a search engine. It’s to make an AI.”
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Greg Smith likes to tilt his head back and look at his office ceiling inside Microsoft's Building 99 — it helps him concentrate on the lines of code running through his head.
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Map of the Internet - Credit: http://xkcd.com/195/  
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NAT will make ipv6 assimilation slow.
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As inquisitive beings, we are constantly questioning and quantifying the speed of various things. With a fair degree of accuracy, scientists have quantified the speed of light, the speed of sound, the speed at which the earth revolves around the sun, the…
As inquisitive beings, we are constantly questioning and quantifying the speed of various things. With a fair degree of accuracy, scientists have quantified the speed of light, the speed of sound, the speed at which the earth revolves around the…
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Wondering how to edit PDF files in Linux? You won't believe that editing PDF files could be this easy in any Linux distro including Ubuntu.
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Facebook Uses Artificial Intelligence to Generate Realistic Virtual Imagery 

This has been a big few weeks for machine learning and imagery.(See links below). Now Facebook just published new research outlining a novel approach for generating realistic, artificial images of scenery and things like dogs, planes, deer, ships, trucks, horses, and, of course, cats.

I've tried parsing through the research, but the details are beyond me. What is interesting, however is their use of an approach called "Generative Adversarial Networks" (GAN). Essentially, what they've done is create a kind of feedback loop between two networks, where the first, the "generative network" generates an image from noise. Then the other, "discriminative network," takes that resulting image, and essentially compares it to training data that is based on real images (note: this is a slight simplification). The result is that with each iteration, the generative network is 'tricked' into generating increasingly realistic looking imagery. 

The researchers then testing the resulting images with a group of volunteers and found that 40% of the images were realistic enough to fool a human into thinking they are real images.

What is Facebook likely to do with the results of this research? That's unclear, but with their Oculus Virtual Reality acquisition, it seems reasonable to assume that they are going to need cost-effective methods for generating a massive scale of virtual scenery and objects. Could this research represent early forays into that work?  

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
http://arxiv.org/pdf/1506.05751v1.pdf

* More:

Looking Inside the Image Recognition of Artificial Intelligence:
https://plus.google.com/u/0/+GideonRosenblatt/posts/gQw9kP8CKzY

Is This the First Computational Imagination?
https://plus.google.com/u/0/+GideonRosenblatt/posts/8V82FxXKxXD

#artificialintelligence   #machinelearning   #virtualreality   #facebook  
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they are doing the same as Google, using the "reverse image search" feature (like tineye) as a tool for the computer to learn about certain shapes that belong to a certain object, once the computer get many pictures of a shape, color, of an object, it recognizes it, for example a banana, the learning computer looks for the edges of the picture and learns its common form, and the color is always about the same, so it knows when a banana its in a picture.
once the computer has a lot of recognized objects in its database, you give it a random noise picture and order it to search for a recognizable object, it may give at first try a very random approach to an object, in the new generated picture of the first try, you order it again to search for a recognizable object, so it reaffirms what it saw over and over, until at the end, it gives as a result an object that a human can recognize it exist in the real world. like a building, a tree, a cat, it all depends on how the first picture of random noise is.
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I won Miss World Canada. But my work puts my father at risk in China.
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The author. (Courtesy of Anastasia Lin)
By Anastasia Lin June 26
The writer will participate in the 2015 Miss World competition in Sanya, China.
My father was never so proud of me as when I was crowned Miss World Canada in May. It’s an incredible honor to be able to represent my country on the world stage. To my father, who still lives in China, it was validation that all of his efforts to support me have paid off.

Although access to information is restricted in China, news of my win spread quickly in my home province of Hunan, and my father was inundated with messages congratulating him and wishing me well. But things soon took a dark turn. Now, just a few weeks after I was crowned, my father is afraid to speak to me.

The reason for this is all too familiar to Chinese people who speak their minds while living abroad.

Shortly after my victory, my father started receiving threats from Chinese security agents complaining about my human rights advocacy. As an actress, I frequently take on roles in films and television productions that shed light on official corruption and religious persecution in China, and my Miss World Canada platform reflects these passions. No doubt fearing for his livelihood and business, my father asked me to stop advocating for human rights. He told me that if I did not stop, we would have to go our separate ways.

Many Chinese rights advocates have had similar experiences. Even after they immigrate to the West, the Communist Party uses their family members in China as leverage to silence and intimidate them.

In many cases, family members are “invited to tea” by members of the security agencies, who then issue vague threats of reprisals if their relatives abroad don’t fall into line. This method is reminiscent of how, during the Cultural Revolution, children were encouraged to denounce and inform on parents, and family members were turned against each other under threat of persecution.

Some Chinese people, especially those who lived through the Cultural Revolution and later campaigns, have internalized the lesson that one must not speak critically of the regime. That explains why, in addition to receiving many messages of support, I have also received letters from Chinese people telling me to tone down my human rights platform, which they see as too political. But to me this isn’t a matter of politics. It’s about universal human values that should never be abrogated.


Many people have asked me why I have continued speaking out after my father was threatened. The answer is simple: If I allow myself to be intimidated, then I am complicit in continued human rights abuses. If I and others who share my concerns allow ourselves to be silenced, the Communist Party will continue abusing its people with impunity.

Although I have not personally experienced persecution (I moved to Canada when I was 13), my acting roles have required me to become intimately familiar with the stories and experiences of those who have. In one film, which was based on a true story, I played a Falun Gong practitioner imprisoned in a Chinese labor camp who would not renounce her beliefs, even after enduring harrowing torture. I draw courage from such stories, and I believe that they must be heard.

Achieving positive change in the world involves sacrifice and risk. Millions of Chinese citizens far more courageous than I am have taken these risks, only to be imprisoned, tortured or worse. By holding to our convictions and values, we honor their sacrifice. It’s unthinkable that such efforts should hurt those closest to us. I was heartbroken when my father messaged me, asking for my silence. I wrestled with what to do, weighing what was right for myself, for my father, for all those inside China and for all those who have left to build new lives in free countries. We all live under threat from the Chinese regime. Too easily we accept this kind of coercion as the social norm, blaming those who speak out rather than those who wield the batons.

But silence will not protect my father, and even if he can’t understand or accept why I speak out, I know he is safer in the light of international attention than in the shadows sought by the authoritarians.

Days will pass, and this spotlight will dim. Please don’t forget my father and the millions of families like ours. Leaving China doesn’t make one free, not when friends and family there become hostages. Freedom comes when we stop accepting tyranny and challenge those who would preserve it.
My human rights advocacy means his livelihood is being threatened.
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I cherish outluk,u truly deserve 2b miss wrld
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AI's next frontier: Machines that understand language

the AI startup MetaMind has published new research detailing a neural networking system that uses a kind of artificial short-term memory to answer a wide range of questions about a piece of natural language. According to MetaMind, the system can answer everything from very specific queries about what the text describes to more general questions like “What’s the sentiment of the text?” or “What’s the French translation?” The research, due to appear Wednesday at Arxiv.org, a popular online repository for academic papers, echoes similar research from Facebook and Google, but it takes this work at step further.

“This is a very hot topic, on which the authors of this paper approach or pass the state-of-the-art results on several benchmarks,” says Yoshua Bengio, a professor of computer science at the University of Montreal who specializes in artificial intelligence and has reviewed the MetaMind paper. “Their architecture is also interesting in that it is aiming at something potentially very ambitious, trying to sequentially parse a large amount of facts—hopefully one day the whole of Wikipedia and more—in such a way, via a learned semantic representation, that one can answer questions about them.”
The AI startup MetaMind has published new research detailing a neural networking system that uses a kind of artificial short-term memory to answer a wide range of questions about a piece of natural language.
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Help: suspend on linux mint 17.1 32 bit leads to botting from scratch

I'm using 64 bit laptop with geforce nvidia 310m on mint 17.1 32 bit
When I close the screen lid it goes to suspend
Turning on again the boot goes from scratch as though just powering on

Is it normal behavior?

Hibernate is worse freezing with black screen half way during awaking
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+Craig D yes, it is 4Gb for 8Gb of available ram. It is 0% used though
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Not sure which programming language you should learn first? Then check out this article and infographic from carlcheo.com on which tools and resources to get started with! Read the article at: https://lnkd.in/emNPbsM

#programming   #developers   #language   #coding  
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Weird, I love c# and c, but everything is pointing to Python for me, guess it's time to try it..
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Training a Conversational Engine

Advances in end-to-end training of neural networks have led to remarkable progress in the fields of speech recognition, computer vision, and language processing. But can neural networks also allow one to have a productive conversation with a computer?

In A Neural Conversational Model, a paper being presented in the Workshop on Deep Learning at the 2015 International Conference on Machine Learning (http://icml.cc/2015/), Google Research Scientists +Oriol Vinyals and Quoc V. Le present a simple approach for conversational modeling that allows the model to remember facts, understand contexts and perform common sense reasoning, all with fewer hand-crafted rules.

Read the full paper at http://goo.gl/f05SjL, and check out a summary by Bloomberg, linked below, to learn more.
The search giant has a fresh development in artificial intelligence that could one day lead to a wise personal assistant
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"Most of the time, Linux systems are incredibly stable and a pleasure to use ..."
"... but if you want to really get a handle on Linux, you need to learn to recognize the common issues and fix them yourself." Gavin Thomas, Deputy Editor. Linux User & Developer. May 7 2015

just have bought one of my first Linux issues online preparing to start fixing my Nvidia nightmare
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+Yuriy Chesnokov Yeah, I've always had issues with sleep/suspend/hibernate on Linux in varying forms. Of course you will have to track down what driver you are using, keep error logs and what not and then I would recommend heading over to the Linux mint forums and posting stuff there. Hopefully someone will be able to help. 
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