Artificial Intelligence and Machine Learning are both buzz words which have been bouncing around Hollywood for years. Consequently, they tend to bring up imagery from films such as iRobot or Star Wars in ones mind. However, in the real world, we’re simply not at the stage of cognitive thought.

Our modern Artificial Intelligence and Machine Learning systems are great at analysing lots of data, for instance, and recognising trends in that data. Specifically, to provide recommendations back to the Human user or to mimic Human decision making based on the data presented. While Artificial Intelligence and Machine Learning are used interchangeably, they are two different things, and together powerful. Though in truth, just not quite yet to the level of C-3PO Human Cyborg Relations…

“Worrying about evil-killer AI today is like worrying about overpopulation on the planet Mars”, says Andrew Ng, VP and a former chief scientist of Baidu.

There are two types of Artificial Intelligence, Narrow or Weak AI and General AI. While Narrow AI has a set of tasks which it excels at and cannot accept tasks outside of that scope, it is far more common than General AI. To illustrate, General AI is essentially a computer which is capable of “thought”. That is, a computer “brain” which can make connections or associations without being confined by algorithms written by programmers. In conclusion, true AI can get smarter and more aware based on previous interactions and outcomes.


Artificial Intelligence can be used to solve many different business problems. To illustrate, some of the applications are listed below. However, this is not an exhaustive list and many more applications exist.

  • Computer Vision – Analysis of Images
    • Biometric Security (For example, the facial recognition image top right of this page)
    • Media / Image Search
  • Data trends and real time recommendations
  • Robotics and Factory (To illustrate, the image to the right of this text)
  • Medical Applications
  • Speech Recognition
    • Speech to Text Translation
  • Natural Language Processing – Chatbot Development  (For example, the image to the right of this text)
  • Transportation
  • Mapping Systems

There are a lot of different systems which already exist today; however, the surface has only been scratched.


Let’s say you save a huge number of different images into a system. For instance, hundreds of thousands or even millions of pictures.

  • Some of them show toy cars.
  • Some of them show other toys.
  • We have tags for 50% images that say ‘toy-car’ or ‘not-toy-car’.
  • We don’t have tags for the other 50%.

A machine learning algorithm studies those images along with their tags. Consequently from this, it can build a model of a toy car which, for instance, it can later use to classify pictures without any further description or tags.

Due to this, a machine can learn to distinguish toy cars from other toys.

Human Pixel can help you to navigate the pitfalls and complexity which is Artificial Intelligence and Machine Learning and help you identify ways on how you can use it best for your business.

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