If you looked up the term “Artificial Intelligence” on Google and somehow ended up on this article, or commuted to work using Uber, you made use of AI.
There are countless examples of Artificial Intelligence that impact our lives. While some people label this as the “robots taking over the world in an evil genius way” phenomenon, it is impossible to deny that artificial intelligence has made life easy by saving us loads of time, money and energy.
Artificial Intelligence refers to the phenomenon where a machine acts as a blueprint of the human mind, by being able to understand, analyze, and learn from data through specially designed algorithms. Artificially intelligent machines can remember human behaviorpatterns and adapt according to their preferences.
The major concepts closely related to AI that you will come across over the course of our discussion are machine Learning, deep Learning and Natural Language Processing (NLP). Let’s make sense of these before we move on.
Machine Learning (ML) involves teaching machines about important concepts via examples by means of big data that needs to be structured (in machine Language) for the machines to understand. This is all done by feeding them the right algorithms.
Deep Learning is a step ahead of ML, meaning it learns through representation but the data does not need to be structured for it to make sense of it. This is due to the artificial neural networks that are inspired by the human neural structure.
Natural Language Processing (NLP) is a linguistic tool in computer science. It enables machines to read and interpret human Language. NLP allows an automatic translation of human language data and enables two entities (computers and humans) who speak different languages to interact.
Now that you are equipped with the terminologies, let’s delve into examples of artificial intelligence and how they work.
Here is a list of eight examples of artificial intelligence that you’re likely to come across on a daily basis, but whose AI aspect you might be unaware of.
One doesn’t have to put much thought into traveling to a new destination anymore. Instead of having to rely on confusing address directions, you can now simply open up the handy map application on your phone and type in your destination.
So how does the application know the exact directions, the optimal route, and even road barriers and traffic congestions? Not too long ago, only GPS (satellite-based navigation) was used as guidance for commuting. But now, artificial intelligence is being incorporated to give users a much more enhanced experience in regards to their specific surroundings.
Via machine learning, the app algorithm remembers the edges of the buildings that have been fed into the system after the staff has manually identified them. This allows the addition of clear visuals of buildings on the map. Another feature is the quality of recognizing and understanding handwritten house numbers which help commuters reach the exact house they were looking for. Places that lack formal street signs can also be identified with their outlines or handwritten labels.
The application has been taught to understand and identify traffic. Thus, it recommends the best route that avoids roadblocks and congestion. The AI-based algorithm also tells users the exact distance and time they will reach their destination as it has been taught to calculate this based on traffic conditions. Users can also view the pictures of their locations before getting there.
So by employing a similar AI technology, various ride-hailing applications have also come into existence. So whenever you book a cab from an app by putting your location on a map, this is how it works.
Using virtual filters on our face when taking pictures and using face ID for unlocking our phones are two applications of AI that are now part of our daily lives. The former incorporates face detection meaning any human face is identified.