Select Page

 

The idea of artificial intelligence (AI) has always mind boggled and fascinated humanity before we even knew what to call it.

 

Throughout history and around the world, fiction has embraced the concept. The ancient Greeks had Hephaestus and Talos, 19th-century England had Frankenstein and his monster. Meanwhile, scientists took out myths and replaced it with math stating that human thought could be simulated through the use of logical, systematic, and arithmetic methods.

 

Al has come a long way and it’s representation in popular culture typically involves some sort of violent or offensive cinematic representation of the technology in the far future. However, the way AI is being used in today’s world is productive in numerous ways and sometimes we may not even realize it.

 

AI use in everyday tasks

 

Everyday tasks include Siri, Apple’s smart assistant, many Apple iOS applications, Amazon’s Alexa, and Google Assistant.

 

Siri stores voice commands as a data file whenever a user speaks. Siri does this through a voice recognition algorithm. This was most likely developed using Supervised Learning. Supervised Learning is a subcategory of Deep Learning that involves being trained in advance to choose which course of action to take in a given situation. Then, Natural Language Processing (NLP) enters the picture. This enables Siri to interpret the data file, convert it into text, and then match the extracted information with the corresponding function on your device. An example would include, “Hey Siri, set a reminder to leave for the dentist at 8 am”.

 

AI in transportation

 

The Philippines currently has one ride-sharing app called Grab. Grab recently beat out its only other competitor, Uber. Grab enables users to find personal drivers in real time. It also accounts for real-time surges and price adjustments for the user. Grab factors in what might affect driver availability, the amount of time and traffic in getting from your pickup location to your destination, and so on.  

 

AI in music recommendations

 

Ever wonder how Spotify shows you a Discover Weekly playlist? Or how Netflix seems to know exactly what shows to recommend to you?

 

What are the odds that such entertainment platforms would be able to pick out smart content that actually fits your needs?

 

It is likely due to Deep Learning and Relevance Feedback.

 

For example on a platform such as Spotify, there are two keep functions. Now and Radio. Spotify can identify common beats, themes, and other musical aspects by applying Deep Learning. Deep Learning allows Spotify to scan across the vast expanse of songs it the library. This is done by examining their sound signals, waveforms, and grouping similar ones together.