We are closer and closer to the era in which artificial intelligence plays an important role in our daily life. Even if, from this point of view, the future of mankind looks controversial or even, some would say, including respected figures of the academic communities like the Cambridge cosmologist Stephen Hawking, it even looks threatened by the development of the artificial intelligence field. On one hand, AI would represent another progress made by science and an improvement to our lives, especially if we consider them as `comfortable`ahead of all other characteristics, but, on the other hand, we do not know how much artificial intelligence will develop on itself if we allow robots to think individually. Anyways, scientists have all agreed that there is still a long, long way to go until we reach that curious point in our history, if we will ever reach it. But, at this moment, the world is surprised by the performances of an artificial intelligence robot which has recently demonstrated that it can resolve quests on its own, according to an announcement made by officials talking on behalf of the University of California, Berkeley. And as the Berkeley robot BRETT completes tasks on its own, the world could not ask more questions about what this event represents in our long time history. After all, there is a chance that we are witnessing a historic moment.
BRETT is an acronym that stands for Berkeley Robot for the Elimination of Tedious Tasks. BRETT and the scientists who have created it have become famous after the Berkeley robot has demonstrated that it can perform a way of learning on its own, in spite of the lack of human support.
There are motor tasks which have been learned and performed by BRETT through a system of trial and failure, one that is very similar to the way in which human beings learn.
BRETT, which is a robot created by University of California, Berkeley`s Robot Learning Lab has performed tasks that by now were considered impossible to perform by an artificial intelligence. For example, BRETT has assembled a toy plane made of LEGO, it screwed a cap on a bottle of water and it has also been capable to put clothes hanger on a rack.
“The key is that when a robot is faced with something new, we won’t have to reprogram it. The exact same software, which encodes how the robot can learn, was used to allow the robot to learn all the different tasks we gave it”.
said Professor Pieter Abbeel of University of California, Berkeley.
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