Artificial Intelligence (AI) is making big waves in the technological ecosystem and with time, it is gradually gaining more recognition in every aspect of technology. It would not be farfetched to say that AI has revolutionized the 21st century and is continuing to do so. Slowly but steadily the AI technology is penetrating every industry from marketing to manufacturing. AI is becoming the backbone of the technology world. With AI sentient and intelligent machines are closer to reality and it is a matter of time only before every human will start witnessing the advanced machine in their surroundings. Machines capable of understanding verbal commands, pictures, drive cars, play games, interact with each other, the AI is making it all possible.
AI can be defined as the science of making intelligent machines.
Commonly known as Weak AI the most basic type of AI, is only capable of executing a defined set of specific tasks and the machine does not possess any thinking ability and it just performs a set of pre-defined functions. An example would be a poker game where rules are already laid down and the machine knows all the moves and the rules and hence, it can operate on those preset types. Whereas, Strong AI can actually think and execute tasks like a human being. Industries are investing in these machines rapidly as it is able to make decisions just like human beings. In the future, it is predicted to see a thinking machine just like a human being.
Another type of learning is super intelligence where computers will surpass human limitations. It is a hypothetical concept at the moment.
There are types of Artificial Intelligence, though it is debatable how many actually exist and the following are some examples of the learning types:
Reactive Machine AI
The most basic types of AI systems are purely reactive and have the ability neither to form memories nor to use past experiences to inform current decisions as this AI includes machines that operate solely based on the present data, taking into account only the current situation. Such machines can perform a predefined task. An example would be Google’s AlphaGo. These AIs can perform well under the present conditions and cannot function beyond specific tasks and can easily be fooled.
Such systems can use past experiences to incorporate future decisions. A most common example of limited memory is a self-driving car. A self-driving car is designed in such a way that it uses inform actions happening moments later such as a car in front of it changing the lane. However, these observations are not stored permanently.
Theory of Mind
These systems will be built in the nearby future as cognitive AI becomes more realistic. More advanced machines will be able to understand the people, creatures, and objects in the surrounding world can express their thoughts and emotions.
Having its own conscious, intelligent, self-aware aka a complete human. A little farfetched at the moment and given the current circumstances. But in the future, there can be various possibilities for the development of self-aware AI systems.