By Mehak Garg
Artificial intelligence is becoming more and more prevalent in modern society. While a majority of Americans still don’t know exactly how AI works, they use it on a daily basis. Whether you are navigating through a new city or composing an email, AI serves as an important tool in helping you execute daily tasks. AI can present itself in numerous ways such as natural language processing, machine learning, and computer vision) which allows it to have massive potential and revolutionize a multitude of industries.
Corporations such as Google, Netflix, and Uber are all utilizing machine learning to improve their products. Similar to how AI can be presented in a variety of ways, there are different types of machine learning (ML), which is essentially a computer learning from experience to make predictions. There are three main subsets: reinforcement learning, supervised learning, and unsupervised learning. Supervised learning is sort of like having a teacher but the machines learn with a training dataset that includes a set of input and output labels. On the other hand, unsupervised learning is when machines comb through data to find patterns they can use. Reinforcement learning is when machines are rewarded or penalized depending on their answer. Uber uses these algorithms by learning from external factors like traffic and then predicting how long it will take for your ride to arrive. Spotify, Apple Music, and Netflix all use ML to give you music and TV recommendations. American Express uses these algorithms to detect fraud in the millions of credit cards they have issued.
Another type of machine learning is Natural Language Processing which is another powerhouse that helps numerous tech giants develop their products. For instance, the Hello Barbie kids play with utilizes ML and Natural Language Procession (NLP) in order to have the toy listen and respond to a child. Google Translate uses NLP to provide language translations. While Google Translate isn’t accurate in terms of grammar and sentence structure, more advanced NLP algorithms are helping to increase accuracy. Search engines such as Google and Yahoo are able to predict search results because of NLP. One of the biggest applications of NLP is email filters (spam, inbox, other folders) that sort our email so that our inboxes stay organized.
In addition to these forms of artificial intelligence, computer vision is also an extremely important asset for companies. Computer vision essentially enables a computer to process and identify information. Amazon used computer vision to change the retail industry when it launched Amazon Go. People can go to the store and walk out without having to check out because they will automatically be charged through their Amazon accounts. In the healthcare industry, hospitals around the country are having physicians spend hours going over patient data. Computer vision can help doctors by going through the data for them and flagging important details saving countless hours. One major application of computer vision is in the automotive industry with self-driving cars and autopilot. Unfortunately, computer vision is still not as accurate as a human’s vision which is why its applications and impact are limited.
More and more tasks are becoming easier to do with the help of AI. While most of us associate Artificial Intelligence with being complicated and hard to understand, we’ve all actually been using AI for years. As technology develops and evolves, more of our daily routines and tasks will involve AI.