When a regular person thinks of artificial intelligence, they visualize personal assistants and robots who have the ability to take over the population if they become self-aware. However, it is much more than that. You can think of artificial intelligence as an umbrella subject area that has a few concentrations that focus on different concepts and goals.
The two that are widely known are machine learning and deep learning. Machine learning is more of creating a software that is can learn from data it is given. Sometimes machine learning is used for commercial purposes such as recognizing and sorting data that is tagged with your name or personal information and filing it away. Machine learning can also be further divided into supervised, unsupervised, and reinforced, which I will not go into too much.
Deep learning is what the Google assistant and Siri employ to do the everyday tasks we ask them to complete. It comprises of a dense and complex neural network, which is a type of computer network that closely resembles the human brain. The technology itself is not new, but the way we have been applying it is what makes it modern.
Deep learning as a concept of artificial intelligence reminds me of J.A.R.V.I.S. from the Marvel Cinematic Universe, which is an artificial intelligence program made by Tony Stark with a striking personality and named after his late family butler. During the movie, Avengers: Age of Ultron, viewers get a look of what J.A.R.V.I.S. looks like if his program schematics were drawn out. 
The program was able to complete many tasks as well as troubleshoot real-time situations and problems such as change nuclear codes, power and control several Iron Man suits simultaneously, and fire witty and biting comebacks to all of the Avengers. The only thing that I found cooler from the AI was its successor F.R.I.D.A.Y., which was able to analyze the fight pattern of Captain America and deploy countermeasures in Captain America: Civil War.