The state of technology is defined by and progressed through AI. It continues to grow in importance day after day. This means learning to understand it is more important now than ever. Luckily, taken at face value the systems are relatively simple. Understanding machine learning, deep learning, and expert systems is a great first step to understanding AI.
So what do each of these terms mean? Well first nothing can be more important than defining AI itself. AI or artificial intelligence is the ability for a machine to learn, put as simply as possible. Machine learning, the first form of AI, follows this concept to a tee. Machines can have data put in and learn from it without having to manually program an output.
Machine learning is by far the most common and applicable system today, although it’s not the only one. Deep learning, for example, is defined more so by its ability to deal with extremely dense data. It still will learn through pattern recognition, something machine learning does. But it can have more advanced forms of data such as images used as the input as well.
Finally the last form of AI worth mentioning here is expert systems. These are meant to mimic human decision-making. This is not to say they’re self aware, but it still sounds pretty strange on the surface. These AI will more typically make decisions instead of producing a static output. They may make an assessment on the value of a home in a neighborhood, for example.
And those are three of the most important forms of AI explained. Obviously there is much more to these systems than was stated here. Yet developing these basic understanding will make a lot of conversations a lot more simple. These terms aren’t going anywhere, so learning to understand them on any level can never be a bad idea.
Learn more about AI and the role of intelligent document processing in the infographic below:
