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Victor Dramba
Lives in Bucuresti
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Victor Dramba

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«Fooling the Machines

Small groups of researchers—from Pennsylvania State University to Google to the U.S. military— are devising and defending against potential attacks that could be carried out on artificially intelligent systems. In theories posed in the research, an attacker could change what a driverless car sees. Or, it could activate voice recognition on any phone and make it visit a website with malware, only sounding like white noise to humans. Or let a virus travel through a firewall into a network. Instead of taking the controls of a driverless car, this method shows it a kind of a hallucination—images that aren’t really there. These attacks use adversarial examples: images, sounds, or potentially text that seems normal to human viewers, but are perceived as something else entirely by machines. Small changes made by attackers can force a deep neural network to draw incorrect conclusions about what it’s being shown.»
 
Fooling the Machines

Small groups of researchers—from Pennsylvania State University to Google to the U.S. military— are devising and defending against potential attacks that could be carried out on artificially intelligent systems. In theories posed in the research, an attacker could change what a driverless car sees. Or, it could activate voice recognition on any phone and make it visit a website with malware, only sounding like white noise to humans. Or let a virus travel through a firewall into a network. Instead of taking the controls of a driverless car, this method shows it a kind of a hallucination—images that aren’t really there. These attacks use adversarial examples: images, sounds, or potentially text that seems normal to human viewers, but are perceived as something else entirely by machines. Small changes made by attackers can force a deep neural network to draw incorrect conclusions about what it’s being shown.
The Byzantine science of deceiving artificial intelligence
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Neural networks, deep learning
 
DeepDream was a famous experiment in inducing hallucinations in neural networks. A Russian engineer has adapted the technique (known as "Inceptionism") to create a system which combines stylistic elements from multiple images to form a new work, and has made this into a software tool. (At the moment, it is only available in Russia, due to CPU limitations; he's trying to raise money to get enough capacity to make it available worldwide) The link below shows some of the rather fascinating things it has created – from the rather beautiful cat of trees below, to some simply strange things involving fish developing pasta-like tentacles. 

It's fascinating to see technology turn not only into tools, but into new artistic media. 

The site itself is at ostagram.ru.

via +Rhys Taylor and +Sakari Maaranen 
These pictures are made using the art technique known as Inceptionism, where images are combined using neural networks to generate a single mind-bending picture.
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Unspoiled, colorful little bay, Vinh Hy Bay is situated in the Nui Chua National Park, close to Phan Rang.
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A Cambodian Buddhist temple.
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Saluti da Caracas. Saludos desde Caracas. Regards from Caracas http://umbvrei.blogspot.com/
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LOL! The absolute best TED talk I ever watched. It has so much stuff in it, in a beautiful charade! All about manipulation, about how to hit the hidden buttons that control emotions and maximize your chances to transform the audience in supporters. He's not just talking about mind tricks, he's doing them in your face so you clearly understand. As a result, you'll never see a talk, any talk, the same again. You'll unconsciously reject tricks an the real content will stand out, naked. And you'll be more careful with your precious time.
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Here is some progress with our toy: Aliens by Daria: Woogie
«Woogie is a voice enabled AI device that is being conceived and developed by a team of Romanian engineers and programmers passionate about technology and education. It is forthcoming for kids aged between 6 and 12 years. Here you can watch Woogie’s progress» http://www.aliensbydaria.com/
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Training a Convolutional Neural Network to recognize a spoken word. Steps: 1. Record a few hundred samples of the word (positives) and an equal number of negatives. 2. Compute the Mel-frequency Cepstral Coefficients (similar to a spectrogram) of the samples. 3. Train the CNN on the MFCCs. 4. Measure accuracy on never seen test samples.
With only about 300 samples, the accuracy seems to be above 80%. Looks promising.
‪#‎MFCC‬ ‪#‎machinelearning‬ ‪#‎google‬ ‪#‎tensorflow‬ ‪#‎ai‬
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«Debugging is twice as hard as writing the code in the first place. Therefore, if you write the code as cleverly as possible, you are, by definition, not smart enough to debug it.» from some book...
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Minh Duc Guest House - Ninh Chu Beach - Phan Rang's profile photoVictor Dramba's profile photo
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+Minh Đức hello
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Learning basic wakeboarding tricks: a first backroll.
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Ar trebui să dai ceva date statistice, altfel par doar afirmații subiective. Dai in stereotipuri gen Românii sunt/nu sunt ...
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Head of IT at Cabanova
Introduction
Here are my current interests in a nutshell: 
  • Web Development in general, PHP, JavaScript, GNU/Linux (I'm one of those weird guys that deleted the windows partition years ago), Android fan etc.
  • kitesurfing, rollerblading, snowboarding, mountaineering
I currently work for Cabanova - a great website builder for normal people.

I am interested in Free and Opensource software development, I even contributed a few lines of code here and there.

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Victor Dramba's +1's are the things they like, agree with, or want to recommend.
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Simply the best table tennis spot in town.
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One of the best looking old buildings în the city. Service is good when it's not very crowded.
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The service could be better by it was OK. Great food.
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Great service, good food. From upstairs you can see the sea.
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