Could artificial intelligence create original works of art?

Could artificial intelligence create original works of art?:

  • Now the plan is to put the art back into artificial intelligence.
  • As of June 1, Google will launch Magenta, a project which will work on teaching artificial intelligence to create art.
  • Google’s latest project, Magenta, plans to train AI systems to make art, music and videos
  • There was also talk at Moogfest about launching a Magenta app alongside the project, to gauge whether the general public liked the art the AI was producing, or whether they were just caught up in the novelty.
  • The project hopes to rectify this, opening the Magenta project to the public to allow the system to further expand its knowledge.

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@Dazed: “Could artificial intelligence create original works of art?:”


Google’s latest project, Magenta, plans to train AI systems to make art, music and videos


Could artificial intelligence create original works of art?

The House That Learns: Bringing Artificial Intelligence Into The Home

Build a smart home: A startup wants to bring artificial intelligence into your living room

  • “Learn from others whom have walked the path before you, but be smart enough to know when to cut your own trail.”
  • Quote of the Day
  • Narciso Rodriguez

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@Forbes: “Build a smart home: A startup wants to bring artificial intelligence into your living room”


A new company is hoping to take the smart home sector to the next level by introducing artificial intelligence.


The House That Learns: Bringing Artificial Intelligence Into The Home

Adobe Adds ‘Shazam for Fonts’ Tool to Photoshop – News Center

How awesome is this?! Using GPUs + #deeplearning, Adobe adds 'Shazam for fonts' to Photoshop

  • Photoshop is using artificial intelligence to help designers identify typefaces that they have seen elsewhere.
  • Revealed last year by Adobe researchers, DeepFont uses NVIDIA GPUs and deep learning to look at the curves and other characteristics of fonts used in the captured image and then compares it to a database of nearly 20,000 fonts to find similar fonts.
  • The tool will be available to users with a Creative Cloud subscription.
  • “My research background is in image recognition and artificial intelligence techniques like machine learning and deep learning,” said Hailin Jin, a principal scientist in Adobe Research, and creator of DeepFont .
  • “I wondered – can we apply the power of machine learning with the font manual to make a useful tool for designers?”

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@GPUComputing: “How awesome is this?! Using GPUs + #deeplearning, Adobe adds ‘Shazam for fonts’ to Photoshop”


Designers have thousands of fonts to choose from, but what do you when you see the perfect font on a building or on a flyer you found on the street? Photoshop is using artificial intelligence to help designers identify typefaces that they have seen elsewhere.


Adobe Adds ‘Shazam for Fonts’ Tool to Photoshop – News Center

Apache Spark MLlib: From Quick Start to Scikit-Learn

.@databricks webinar - Spark MLlib: Quick Start to Scikit-Learn  #MachineLearning #BigData

  • Simplify Machine Learning with Apache Spark
  • Apache Spark and the Apache Spark Logo are trademarks of the Apache Software Foundation.
  • Join the Databricks Community Edition beta to get free access to Spark and try out the notebooks.
  • A few months ago, we held a live webinar – Apache Spark MLlib: From Quick Start to Scikit-Learn – to give a quick primer on machine learning, Spark MLlib, and an overview of some Spark machine learning use cases.
  • Last week, we held a live webinar – GraphFrames: DataFrame-based graphs for Apache Spark – to give an overview, a live demo, and a discussion…

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@kdnuggets: “.@databricks webinar – Spark MLlib: Quick Start to Scikit-Learn #MachineLearning #BigData”


A few months ago, we held a live webinar – Apache Spark MLlib: From Quick Start to Scikit-Learn – to give a quick primer on machine learning, Spark MLlib, and an overview of some Spark machine learning use cases.  It also covered multiple Spark MLlib quick start demos as well as the integration of common data science tools like Python pandas, scikit-learn, and R with MLlib.


Apache Spark MLlib: From Quick Start to Scikit-Learn

Robotics and artificial intelligence examined with academic experts

We're holding our first hearing on robotics & artificial intelligence at 2.30pm today

  • See some of the sights you’ll encounter on a tour of Parliament
  • Take a tour of Parliament and enjoy a delicious ‪afternoon tea‬ by the River Thames
  • Celebrating people who have made Parliament a positive, inclusive working environment
  • Robotics and artificial intelligence examined with academic experts
  • Produced by Commons Library, Lords Library and Parliamentary Office Science and Technology

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@CommonsSTC: “We’re holding our first hearing on robotics & artificial intelligence at 2.30pm today”


Science and Technology Committee questions academics on developments in robotics and artificial intelligence


Robotics and artificial intelligence examined with academic experts

[1605.06640] Programming with a Differentiable Forth Interpreter

Differentiable memory, Turing machines & ADTs, now a diff. programming language!  #dlearn #ai

  • As the program interpreter is end-to-end differentiable, we can optimize this behaviour directly through gradient descent techniques on user specified objectives, and also integrate the program into any larger neural computation graph.
  • We show empirically that our interpreter is able to effectively leverage different levels of prior program structure and learn complex transduction tasks such as sequence sorting or addition with substantially less data and better generalisation over problem sizes.
  • To the end we present a differentiable interpreter for the programming language Forth.
  • We consider the case of prior procedural knowledge such as knowing the overall recursive structure of a sequence transduction program or the fact that a program will likely use arithmetic operations on real numbers to solve a task.
  • Given that in practice training data is scarce for all but a small set of problems, a core question is how to incorporate prior knowledge into a model.

Read the full article, click here.


@_rockt: “Differentiable memory, Turing machines & ADTs, now a diff. programming language! #dlearn #ai”



[1605.06640] Programming with a Differentiable Forth Interpreter