Intelligence in a Real World


Artificial Intelligence (AI) is here!

We are currently witnessing one of the greatest revolutions in all of human history - driven by Artificial Intelligence.

Artificial Intelligence has the true potential to enhance and extend the capabilities of humans, helping businesses achieve more; faster and more efficiently. AI-driven analytics and real-time insights are helping industries transform their business to grow revenues and market shares faster than their peers, from logistics and healthcare to automotive and manufacturing.

So what is Artificial Intelligence? Artificial Intelligence is an extremely exciting technology used to develop intelligent systems and machines that can act and think like humans. Thanks to the ever-increasing miniaturization of computers, affordable sensors, ubiquitous networking, and the snowballing availability of “smart” devices around the world, an abundance of information can be simply collected and interpreted. And as algorithms are continuously being improved, either by analysts or automatically through machine learning, this data leads to better, more informed decision making.

Types of AI:

  • Narrow AI: Made to perform one particular task. Cannot think for itself.
  • Artificial General Intelligence (AGI): Able to think and act just like a human. Learns from experiences.
  • Superintelligent AI: Thinks a step ahead. Occurs when machines outsmart humans.

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Artificial Intelligence & Its Sub-Sets

Artificial Intelligence (AI) is an all-encompassing concept that incorporates human intelligence into machines. Going a step further into AI and using data and experiences to automatically tune algorithms is what is called Machine Learning (ML), a sub-set of AI. By going even further we find Deep Learning (DL), a sub-set of ML which utilises deep neural networks to simulate the learning process.

Artificial Intelligence

The all-encompassing concept of a program that can sense, reason, and act like a human being. AI receives data and acts according to pre-set parameters and rules.

Machine Learning

A sub-set of AI that demonstrates the ability to receive sets of data, learn from the data, then change, update, or improve algorithms to enhance overall performance.

Deep Learning

A sub-set of ML that exhibits learning based on the deep artificial neural networks used to represent patterns. A system understands enormous amounts of information, recognising patterns and tendencies, and responds in useful ways.

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