The time is fast approaching where the late years and highly developed technology we see in science fiction movies are coming to life. But contrary to belief, the highly advanced type of AI people were once expecting is still taking some time to achieve. There are even some misunderstandings of what machines and robots are capable of and what they will be able to do in the future.
There are a number of variations in AI. However, a topic and category known simply as “ML” or Machine Learning is a part of that but stated to be quite different. In a simple explanation, artificial intelligence itself and the type of artificial intelligence has a different meaning from “Machine Learning”. Machine Learning is simply the level in which artificial intelligence is advanced and able to carry out tasks.
Types of AI (Artificial Intelligence)
Artificial Intelligence can and has been summed up into simple categories to describe a robot, computer, and overall machine’s ability with types spanning from 1 to 4.
- AI type 1 is the “Narrow AI” where much like a simple computer or when computers first emerged in society, their job was to carry out task given to them with a simple set of premade rules and orders to create a result.
- Type two is a simple step up, giving AI the ability to now archive information and form memory to better construct results.
- Type three AI is a highly advanced AI in which machines can retain knowledge and hold memory, but with that, they are able to comprehend human emotion and behave more like a human would overall.
- Finally, Type four AI is the most extreme form. It involves robots not only understanding emotion and reacting accordingly, but they are also equipped with tools to understand their own existence and awareness of the environment around them.
With this in mind, ML (Machine learning) is ongoing to help expand on every AI type and AI in general. By taking all the types of AI, some have taken them and put them into even smaller categories and listed it as “Applied AI” and “Generalized AI”. Generalized AI is the more advanced type of artificial intelligence such as type 3 and type 4, where robots seem and behave more like humans. This is the behavior that engineers and scientist strive to, and thus influences machine learning.
Progression of Machine Learning
When development on computers was still in progress, Type 1 of AI was first introduced otherwise known as “applied AI”. With this, everything was put inside the computer to carry out tasks for individuals using it. Of course, like any new technology, it takes a lot of work, and new computers were no different. Because of this difficulty, developers soon came up with the early development of machine learning as well. This would enable the computers to learn for itself rather than everything being preprogrammed into the machine. Since its progression, it has proved useful not only for creators but other individuals as well.
When the internet came out, this allowed for even more information to be stored in the computer and vast knowledge to be spread worldwide.
As time has progressed, many believe that this idea of machine learning is endless. And in a way it is. Already, machine learning has led to the development of widespread home devices like “Amazon Echo” and “Google Home”. Of course, they were programmed to respond and react to commands, but with their connection to the internet and other’s requests and questions uploaded to a cloud, these devices have been able to form memory and archive of patterns to help better retain knowledge.