Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before

Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before

  • As well as beating us at board games, driving cars, and spotting cancer, artificial intelligence is now generating brand new sounds that have never been heard before, thanks to some advanced maths combined with samples from real instruments.
  • Before long, you might hear some of these fresh sounds pumping out of your radio, as the researchers responsible say they’re hoping to give musicians an almost limitless new range of computer-generated instruments to work with.
  • The new system is called NSynth, and it’s been developed by an engineering team called Google Magenta, a small part of Google’s larger push into artificial intelligence.

As well as beating us at board games, driving cars, and spotting cancer, artificial intelligence is now generating brand new sounds that have never been heard before, thanks to some advanced maths combined with samples from real instruments.
Before long, you might hear some of these fresh sounds pumping out of your radio, as the researchers responsible say they’re hoping to give musicians an almost limitless new range of computer-generated instruments to work with.
The new system is called NSynth, and it’s been developed by an engineering team called Google Magenta, a small part of Google’s larger push into artificial intelligence.
Continue reading “Now Artificial Intelligence Is Inventing Sounds That Have Never Been Heard Before”

Robots that Learn

Robots that Learn  via @OpenAI #robotics #AI #machinelearning #VR

  • The imitation network observes a demonstration, processes it to infer the intent of the task, and then accomplishes the intent starting from another starting configuration.
  • Thus, the imitation network must generalize the demonstration to a new setting.
  • At test time, the imitation network was able to parse demonstrations produced by a human, even though it had never seen messy human data before.
  • The imitation network uses soft attention over the demonstration trajectory and the state vector which represents the locations of the blocks, allowing the system to work with demonstrations of variable length.
  • Without injecting the noise, the policy learned by the imitation network would usually fail to complete the stacking task.

We’ve created a robotics system, trained entirely in simulation and deployed on a physical robot, which can learn a new task after seeing it done once.
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An Introduction to the MXNet Python API 

An Introduction to the MXNet #Python API #DeepLearning #NeuralNetworks

  • This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API.
  • In this series, I will try to give you an overview of the MXnet Deep Learning library: we’ll look at its main features and its Python API (which I suspect will be the #1 choice).
  • In this article, we’re going to work with a pre-trained model for image classification called Inception v3.
  • In part 4, we saw how easy it was to use a pre-trained version of the Inception v3 model for object detection.
  • In part 5, we used three different pre-trained models for object detection and compared them using a couple of images.


This post outlines an entire 6-part tutorial series on the MXNet deep learning library and its Python API. In-depth and descriptive, this is a great guide for anyone looking to start leveraging this powerful neural network library.

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Future iPhones and iPads might have a special chip just for processing AI

Future iPhones and iPads might have a special chip just for processing AI

  • Future iPhones and iPads might have a special chip just for processing AI

    Image: lili sams/mashable
    By Raymond Wong2017-05-26 22:58:52 UTC

    Apple’s reportedly working on a new kind of chip — potentially for future iOS devices — that’ll be used just for processing AI, Bloomberg reports.

  • By moving AI processing to a dedicated chip, battery life in devices could also see a boost since the main CPU and GPU wouldn’t be crunching as much data and gobbling as much power.
  • The report says Apple plans to integrate the chip into its devices, but it’s unclear when that’ll happen, and if any iOS devices launching this year will have it.
  • Apple’s AirPods also have a custom W1 chip that helps with pairing them to iOS devices.
  • If the future is AI everywhere (and it definitely looks like that’s where things are headed), it’s in Apple’s best interests to control the stack (like it always does) with its own AI chip.

A new Bloomberg report says Apple’s working on a new chip, called the Apple Neural Engine, that’s devoted to processing AI.
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Ultimate Guide to Building a Machine Learning Anomaly Detection System, Part 2

Learning Normal Time Series Behavior: Part 2. #BigData #MachineLearning #DataScience #AI

  • In Part 2 of this 3-part guide, we continue the discussion with information about how systems can learn what “normal behavior” looks like, in order to identify anomalous behavior.
  • This 20-page guide – part two of a three-part series – incorporates diagrams and charts to explain the process of learning the normal behavior of time series data.

Ultimate Guide to Building a Machine Learning Anomaly Detection System, Part 2
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How Atomic AI Measures The Emotion In Your Content

How Atomic #AI Measures The Emotion In Your #Content - by @suhash_talwar @atomic_reach

  • Why Writing With Emotion is Important
    Emotional language can greatly impact how engaged a reader is with your content.
  • The emotional factor was looked at on a per article basis – using “hot” and “cold” as the indicator for the overall emotional intensity of a piece of content.
  • Soon after, we updated the feature to flag specific words as hot (emotional) or cold (not emotional) so that users had a better idea of what words were contributing to the level of emotion within a piece of content.
  • We noticed that our users would look at the emotional intensity of a piece of content, then haphazardly try and replace words.
  • After various iterations, the team was finally able to settle on a solid model for measuring emotion and was able to bake in the ability to provide recommendations to either increase or decrease the emotional intensity of the word.

If there is a single feature in our platform that has generated the most interest (but also the most confusion), it is our Emotion measure.
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Linear Regression in Tensorflow

Linear Regression in Tensorflow

  • Tensorflow is an open source machine learning (ML) library from Google.
  • To scratch the surface of this incredible ML library, we will implement Linear Regression to predict prices of houses in Boston area.
  • The Boston dataset is available at UCI Machine Learning Repository.
  • If you don’t know the maths behind Linear Regression, some great resources are provided at the end of this tutorial.
  • Firstly, we will import the required libraries which includes: TensorFlow, Numpy and Matplotlib.

Tensorflow is an open source machine learning (ML) library from Google. It has particularly became popular because of the support for Deep Learning. Apart from…
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