We are at a point where artificial intelligence could become aware and we must be prepared for that moment ... or not?

Artificial intelligence is in a constant acceleration stage. Each day that passes, the greater the investment to discover new developments, solutions, and possibilities of this technology. AI startups abound, from large to small like AI startup Halfcode.

It is time we follow its evolution very closely because in the future it will have consequences in different sectors such as private, government, student, and worker industry.

For this reason, we present the main types of artificial intelligence that currently exist and are giving what to talk about.

1. Reactive: it is the best-known form internationally. Its main feature is based on reacting according to how it was programmed. That is, it does not remember anything at all, nor does it use past experiences to make current decisions.

Example: Deep Blue, the machine that beat Kasparov (a world champion) in chess, made predictions about what moves both would make, choosing the best moves on the board. However, he could not turn to the past to improve the future.

2. Limited: here, artificial intelligence can already observe its past and correct it in the present to never repeat it in the future, although only temporarily.

For example, autonomous cars, identify specific objects, and constantly monitor them to learn the way. As brands of lanes, traffic lights, straight, curves, and different obstacles.

3. From Mental Theories: they form their actions on what they observe in their environment: other machines, people, creatures, objects, and technologies. Thus they form their thoughts and decisions.

Example: recognition and disaster relief robots. They should analyze the environment in which they are in before diving into the sea, avoiding obstacles such as rocks or unusual structures.

4. Self-awareness: it is the last step that artificial intelligence should reach. For there to be, efforts and resources must be invested towards understanding memory, learning, and the ability to base decisions on past experiences of machines.
Example: There are no machines currently capable of self-awareness but at the rate at which the artificial intelligence sector is improving, it is only a matter of time before this becomes a possibility.

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