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Artificially Intelligent Painters: can deep learning AI create the next Mona Lisa?

Neural Style

If you have ever used Instagram or Snapchat, you are familiar with using filters that alter the brightness, saturation, contrast, and so on of your images. Neural style, a deep learning algorithm, goes beyond filters and allows you to transpose the style of one image, perhaps Van Gogh’s “Starry Night,” and apply that style onto any other image.  

Neural style, one of many models available on Somatic.io, uses a deep neural network in order to separate and recombine content and style of any two images. It is one of the first artificial neural networks (ANNs) to provide an algorithm for the creation of artistic imagery.

convolutional neural network

How Does it Work?

The model is given two input images, one that will be used for styling, the other for content. At each processing stage in the convolutional neural network’s (CNN) hierarchy, the images are broken into a set of filtered images. While the number of different filters increases along the processing hierarchy, the overall size of the filtered images is reduced, leading to a decrease in the total number of units per layer of the network.

The above figure visualizes the information at different processing stages in the CNN. The  content reconstructions from lower layers (a,b,c) are almost exact replicas of the original image. In the higher layers of the network however, the detailed pixel information is lost while the high-level structures and details remain the same (d,e). Meanwhile, the model captures the style of the other input image on top of the content CNN representations. Then, the style representation draws connections between the different features in different layers of the CNN. The model then reconstructs the style of the input image on top of the content representations within each of the CNN layers. This creates images that match the style on an increasing scale as you move through the network’s hierarchy.

convolutional neural network layers

Try It Out!

Experiment with the model for yourself. All you need to do is select an image you want to use for style and anther one for the content. Here are some creations of the latest creations the model has generated.

 

Capitalism is ending because it has made itself obsolete, former Greek finance minister Yannis Varoufakis says

Capitalism is ending 'because it has made itself obsolete'

  • Former Greek finance minister Yanis Varoufakis has claimed capitalism is coming to an end because it is making itself obsolete.
  • Mr Varoufakis, who took on EU institutions over Greek debt repayments in 2015, said companies such as Google and Facebook, for the first time ever, are having their capital bought and produced by consumers.
  • “Firstly the technologies were funded by some government grant; secondly every time you search for something on Google, you contribute to Google’s capital,” he said.
  • Describing the present economic situation as “unsustainable” and fearing the rise of “toxic nationalism”, Mr Varoufakis said governments needed to prepare for post-capitalism by policies.
  • Mr Varoufakis came to prominence during the Greek sovereign debt crisis when he led Greece’s negotiating team seeking a resolution with its international creditors.

Former Greek finance minister Yanis Varoufakis has claimed capitalism is coming to an end because it is making itself obsolete.   The former economics professor told an audience at University College London that the rise of giant technology corporations and artificial intelligence will cause the current economic system to undermine itself. 
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This app uses artificial intelligence to turn design mockups into source code

This app uses artificial intelligence to turn design mockups into source code

  • While traditionally it has been the task of front-end developers to transform the work of designers from raw graphical user interface mockups to actual source code, this trend might soon be a thing of the past – courtesy of artificial startup UIzard Technologies has leveraged the latest developments in the field of machine learning to…
  • What is particularly intriguing is that the so-called Pix2Code model has the capacity to produce code for three different platforms, including Android and iOS as well as other web-based technologies.
  • As UIzard founder Tony Beltramelli explains in his research, the novel approach could potentially “end the need for manually-programmed” user interfaces altogether.
  • At present, the method generates code from screenshots with an impressive accuracy of over 77 percent, but the consistency of the algorithm is likely to improve in the future.
  • Watch this brief video demonstration to see the AI-powered app in action: – – While UIzard has already shared some of the principles behind the technology powering its software, the company notes that the source code for the actual app will become available later this year.

Designers might no longer have to rely on front-end developers to turn their user interface mockups into source code – courtesy of artificial intelligence.
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Blockchain May Play Crucial Role in Artificial Intelligence Development, Regulation

#Blockchain May Play Crucial Role in Artificial Intelligence Development, Regulation
#AI

  • In today’s rush to adopt machine learning and AI techniques to gain a competitive advantage, there is a real danger that the technology will be deployed in an unsuitable field.
  • One option to consider is Blockchain, which has a crucial role to play in the regulation of machine learning and AI technologies.
  • Blockchain can also enable access control for any autonomous AI entity based on the reputation of that autonomous agent.
  • So, if we imagine a future where standards are defined around what AI has to write to the Blockchain and the access control mechanism that essentially looks at the “reputation” of the autonomous AI entity, then we have a mechanism that can create a control that is impossible to circumvent…
  • Enabling an AI leviathan that can enforce identification and reporting by AI autonomous agents to a Blockchain.

Artificial intelligence must be carefully designed and well-regulated; Blockchain could make that possible.
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Vacation with IBM Watson and Discover a Whole New World

#ICYMI: Planning your next trip? #AI can help you travel like a local. Learn more:

  • Tapping into the power of artificial intelligence (AI), the app provides these services while factoring in variables like weather, local context and user preferences.
  • Walk and Explore uses IBM Watson services to customize experiences, considering factors like the user’s age, gender and travel interests.
  • If you’re a family traveling with children, the app will cater to your travel experience differently than, for example, it would for three female college-student travelers.
  • The result is more engaging and customized travel experiences for tourists, and a new means by which tourism service providers can reach their target audience.
  • Artificial intelligence makes our app, and the travel experiences it helps plan, personalized and unique.

Walk and Explore is a smart mobile application using IBM Watson services to help travelers customize experiences, based on their age, gender and interests.
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TensorFlow or Keras? Which one should I learn? – Imploding Gradients – Medium

#TensorFlow or #Keras? Which one should I learn?

  • With plenty of libraries out there for deep learning, one thing that confuses a beginner in this field the most is which library to choose.Deep Learning libraries/frameworks as per popularity(Source : Google)In this blog post, I am only going to focus on Tensorflow and Keras.
  • And if Keras is more user-friendly, why should I ever use TF for building deep learning models?
  • You can tweak TF much more as compared to Keras.FunctionalityAlthough Keras provides all the general purpose functionalities for building Deep learning models, it doesn’t provide as much as TF.
  • Absolutely, check the example below:Playing with gradients in TensorFlow (Credits : CS 20SI: TensorFlow for Deep Learning Research)Conclusion (TL;DR)if you are not doing some research purpose work or developing some special kind of neural network, then go for Keras (trust me, I am a Keras fan!!)
  • But as we all know that Keras is going to be integrated in TF, it is wiser to build your network using tf.contrib.Keras and insert anything you want in the network using pure TensorFlow.

Deep learning is everywhere. 2016 was the year where we saw some huge advancements in the field of Deep Learning and 2017 is all set to see many more advanced use cases. With plenty of libraries out…
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An Introduction to Implementing Neural Networks using TensorFlow

An Introduction to Implementing Neural Networks using TensorFlow

  • This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh.
  • If you have been following Data Science / Machine Learning, you just can’t miss the buzz around Deep Learning and Neural Networks.
  • Organizations are looking for people with Deep Learning skills wherever they can.
  • Starting with this article, I will write a series of articles on deep learning covering the popular Deep Learning libraries and their hands-on implementation.
  • After reading this article you will be able to understand application of neural networks and use TensorFlow to solve a real life problem.

This article on an introduction to implementing neural networks using TensorFlow, was posted by Faizan Shaikh. Faizan is a Data Science enthusiast and a Deep l…
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Why does Sweden produce so many startups? – World Economic Forum – Medium

Interesting #fintech #Insurtech #AI #startups

Why does #Sweden produce so many #startups?

  • What do Spotify, Minecraft and Candy Crush Saga have in common?They were all made in Sweden.Skype was co-founded by Swedes and SoundCloud started in Stockholm before moving to its current home in Berlin.Sweden is home to Europe’s largest tech companies and its capital is second only to Silicon Valley when…
  • The rollout of this fiber-optic infrastructure has been directly financed by the Swedish government in rural areas, and heavily subsidized everywhere else.It isn’t the first time the government has funded a mass rollout of technology: in the 1990s it subsidized households to buy PCs, which academics claim meant there was…
  • And while the tax level is listed by The Global Competitiveness Report 2017 as the most problematic factor when doing business in Sweden, the government’s minister for enterprise and innovation Mikael Damberg claims the country’s social safety net means entrepreneurs are more free to take risks.Sebastian Siemiatkowski, CEO of Klarna,…
  • The Swedish government is even seeking to address tech companies’ concerns that high income tax levels make it difficult to attract global talent.It is doing this by lowering taxes on startup stock options — a common method of compensation by new companies that want to attract the best talent but cannot compete…
  • Equally, employees are more likely to be collaborative when they trust their colleagues.The paper points out that trust among employers is more likely to be high when trust in the wider economy is high.A strong level of trust is deeply rooted in Swedish culture, which may explain why so many…

Skype was co-founded by Swedes and SoundCloud started in Stockholm before moving to its current home in Berlin. Sweden is home to Europe’s largest tech companies and its capital is second only to…
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