Facebook develops self-learning artificial intelligence

Facebook develops self-learning artificial intelligence

Facebook, artificial intelligence technology trying to cross an important threshold for Artificial intelligence or technologies that we call AI can learn new things thanks to the algorithms of software developers. In short, the development of these systems depends on the team working behind it. If Facebook self-learning artificial intelligence managed to improve. The firm thus seeks to reduce its dependence on human beings.

Facebook took the first step for learning artificial intelligence

Facebook, its newly developed in artificial intelligence algorithm It has managed to go beyond the learning done by humans through labels. Social media giant, artificial intelligence algoritmas─▒na self learning trying to gain competence.

According to this, Seer (Self-supERvised) algorithm for InstagramUsed over a billion posts from Used artificial intelligence technology, He decided which of these images were similar to each other.

The most interesting feature of the artificial intelligence algorithm is that it can solve the existence of another algorithm. SeerThis time we were shown a small number of images using cat tags. The algorithm noticed the bad tagging and was able to complete that there was another algorithm behind it.

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Facebook Science Department Head Yann LeCun

Scientists from important universities in the USA also witnessed this artificial intelligence experiment conducted by Facebook. Scientist serving as Head of Facebook’s Science Department Yann LeCundescribed the self-learning capability we come across with this artificial intelligence technology as a revolution.

LeCun, chosen 1 billion Instagram posts He explained that he was chosen randomly and even simple visuals were not used to make the job of artificial intelligence easier.

Facebook Science Department Head LeCun is one of the prominent scientists in the USA working on artificial intelligence and machine learning. According to LeCun, learning artificial intelligence through labels is too cumbersome to move humanity forward.

Self-learning of artificial intelligence is already used to perceive and translate the language of texts. But identifying images and grouping them by artificial intelligence is more complicated than describing texts, according to LeCun. Seer has led to an important development in this regard.

Seer artificial intelligenceworks by connecting objects and images, just like a human brain. The processing power requirement of this new artificial intelligence, which is likened to a large neural network, is also higher than its competitors.

Identifying and learning pictures, classifying them in relation to each other, is not the first time they are used. Previously a Spanish initiative Qbogave the robots he developed the ability to learn. In fact, these robots had the ability to share the information they acquired with each other.

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