Posted by Eddie Guevarra on 29 Nov, 2017
AI: From theory to improving the mobile experience
Whether your company is ready or not, Artificial Intelligence is here; it’s no longer a science fiction fad. So embrace the technology and start preparing for how you can utilise it to your advantage.
What is Artificial Intelligence?
Artificial Intelligence has been around for some time now. A surprise to many, the field of Artificial Intelligence research was actually founded during a workshop that took place in the summer of 1956, on the campus of Dartmouth College. However, there is still some confusion about what the technology actually is. The best way to describe Artificial Intelligence is to compare it with an algorithm.
An algorithm is a written set of rules that should be followed to achieve the desired outcome. It is the same as following a cake recipe, ensuring that the ingredients and measurements required are exact and that the steps taken are followed accordingly. Artificial Intelligence, however, is slightly different. Instead of providing the exact ingredients and measurements, you simply provide the Artificial Intelligence machine with the ingredients and quantities and hope that it makes a cake. To go further into the explanation, take a look at the image below.
At the start, you provide input into your Artificial Intelligence machine with multiple sets of data. The machine then works through this to provide you with the desired output, by taking your data through the different layers of nodes (represented by the circles).
With the use of mathematical formulas like regressions, the machine processes the data through these nodes, following various parameters that are set in place from the beginning. Ultimately, the machine will not be able to tell when it’s reached its end destination. However, it gives a total score to suggest how confident it is in reaching the intended outcome. In the image above, examples of an output which Artificial Intelligence can work in, are price projection (certainties of price), image tagging (identifying objects) and word identification (understanding the words you say/write).
The simple way to describe how an Artificial Intelligence works through the different sets of layers and begins to learn the correct processes is to imagine the machine playing the popular video game, Super Mario. A machine can play through the course, jumping through various obstacles until the character dies. It starts again from the beginning and avoids the final step it takes before it’s death, using an alternative path. Here, the machine is provided with the input data (pixel on screens) and works through the layers until it reaches the end goal (staying alive). It keeps doing this until the character gets to the end destination, completing the course without dying. This is commonly known as a ‘train and learn’ approach.
If you would like to view the full video of Olivier’s talk or if you are interested in attending the next Spotlight Series event, please send an email to firstname.lastname@example.org.
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