The evolution of artificial intelligence

Much is said about the dangers posed by artificial intelligence towards human kind. Even more when the advent of this science is related to the popularization of the digital media. With a intelligence similar to the human beings, the system was defined by John McCarthy, who coined the expression in 1956, as the science and engineering to produce intelligent machines ”. Simplyfying, the machines built possess reasoning, inference and learning capacity. What started as a science that aimed to reproduce the human thought, is today divided into subfields that provoke mistrust. After all, the outcome is unknown. But leaving the fear behind, it is important to focus on the improvements that these systems are providing currently, as it is the case of software used in independent cars and translations done simultaneously, for example.

Specialists project that the intelligence of the machines will have equaled the human beings by 2050. A great achievement was accomplished with the use of artificial intelligence in autonomous cars: a perception of its surroundings and a sensory integration were used to eliminate any possibility of accidents happening, making  artificial intelligence crucial in the success of this new machine technology.  Much persistence and also discernment are necessary to develop this kind of work. Think about this: a dog and an old lady crossing a road, who will the independent car deviate from? For the car  both are objects, so there is no value judgement. The recognition exercise demands investment. Apple, in the race to launch its fleet of autonomous vehicles, has hired experts in this area of science to guarantee its success.

There is no forecast for the launching of Apple’s autonomous cars, but what everyone knows for sure is that much persistence is needed. The way it is constructed, artificial intelligence is continuous and cumulative.  Fei-fei Li, professor at the University of Stanford and director at the university’s computational vision lab, has spent the last 15 years teaching computers “to see”. Objecting the creation of electronic eyes for robots and machines to make them capable of understanding the surrounding environment, the professor has given the algorithms the same kind of training children receive, by means of quantitative and qualitative experiences. This is one more step on the development of machines perception of the surrounding environment.

Different perspectives exist:  one of them is of a future where artificial intelligence will be used in machines that have the power of self-programming, developing learnings superior to the human capacity; the other, related to promising innovations, presents artificial intelligence allied to human knowledge. Allied or executioner, only time will show. For the time being, artificial intelligence promises good perspectives for the new technologies in the coming years.

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