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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.

 

March Madness: A Swarm Intelligence Is Predicting the Future

#MarchMadness: A Swarm Intelligence Is Predicting the Future   #AI #IBMInterConnnect

  • When Unanimous AI developed UNU in 2015, the goal was to create artificial intelligence (AI) systems that “keep people in the loop,” amplifying human intelligence instead of replacing it.
  • Unanimous AI’s March Madness bracket was able to beat all but three percent of ESPN brackets across the country on the first day of the tournament.
  • The technology makes use of the collective intelligence of people — combining “knowledge, insights, and intuitions,” as Unanimous AI puts it — to develop a kind of artificial intelligence that’s inherently human.
  • As Unanimous AI explains, “We empower people to act as ‘data processors’ that come together online and form an intelligent system, connected by AI algorithms.
  • One day, perhaps we’ll be able to combine the intelligence of Watson with that of a swarm of medical professionals to improve healthcare, or combine the insights of an investment-making AI with a swarm of finance experts.

The collective intelligence is killing it on ESPN.
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How 4 Agencies Are Using Artificial Intelligence as Part of the Creative Process – Adweek

How 4 agencies are using artificial intelligence as part of the creative process:

A couple of weeks ago, Coca-Cola’s global senior digital director Mariano Bosaz told Adweek he wanted “to start experimenting” with “automated narratives,” including using bots for music and editing the closing credits of commercials.
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Artificial Intelligence Will Not Replace Lawyers With IQ And EQ

#ArtificialIntelligence Will Not Replace Lawyers With IQ And EQ

  • Many lawyers have elevated IQ’s, though relatively few seem to possess high EQ’s– commonly called ‘people skills’.
  • Artificial intelligence (AI), a recent entrant in the legal vertical, scores high on IQ, but the jury is still out on whether machines can develop comparable EQ.
  • How is human intelligence—IQ and EQ– applied to legal practice, and what functions require specialized training and social skills that cannot be performed by machines?
  • Put another way, what are the core functions that lawyers perform, and what attributes differentiate effective human lawyers from machine ones?
  • And while some of the rote chores that support the work they do—legal research, discovery production review, statistical analysis—can certainly be performed by machines—only human lawyers can synthesize it and communicate it to others in a way that evokes confidence (“I’m sure glad she’s my lawyer!)

Analytical prowess (IQ), people skills (EQ) and artificial intelligence (AI) are three kinds of intelligence in the legal marketplace. Who is best suited for what tasks is largely driven by which resource–human or machine has the necessary form of intelligence. This article examines the three.
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New ARM Chip Architecture Promises Big Boost To Artificial Intelligence

ARM anticipates a world where artificial intelligence will be running on every device

  • ARM, which designs the chips that power virtually every smartphone in the world, is anticipating a world where artificial intelligence will be running on every device.
  • To address this shift, ARM is launching a major update to its chip architecture with what it calls DynamIQ.
  • ARM’s new central processing unit (or CPU) architecture will cluster multiple different processing cores together with each one tailored for right software, including a dedicated processor for handling AI algorithms.
  • ARM claims this approach will boost AI performance 50 times compared with its current chips over the next three to five years.
  • DynamIQ is an evolution of ARM’s last big shift in architecture with the 2011 introduction of so-called big.LITTLE, where two sets of big and small processing cores power the appropriate application to reduce battery consumption.

Your next iPhone could be thinking for itself.
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