Facebook, artificial intelligence technology
Trying to cross a critical 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. The firm thus seeks to reduce its dependence on human beings.
Facebook takes the first step for learning artificial intelligence
Facebook, its newly developed in artificial intelligence algorithm has managed to go beyond the learning done by humans through tags. Social media giant, artificial intelligence algorithm self-learning trying to gain skill.
According to this, Seer (Self-supERvised) algorithm
for Instagram
More than one billion posts from were used. Used artificial intelligence technology, decided for himself which of these images were similar.
The most interesting feature of the artificial intelligence algorithm is that it can solve the existence of another algorithm. Seer was shown a small number of pictures this time using cat tags. The algorithm noticed the bad tagging and was able to complete that there was another algorithm behind it.
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 LeCun described the self-learning capability we come across with this artificial intelligence technology as a revolution.
LeCun, chosen 1 billion Instagram posts explained that it was randomly selected and even simple visuals were not used to facilitate the work of artificial intelligence.
Head of Facebook Science Department, 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. However, according to LeCun, the identification of images and their grouping by artificial intelligence is more complex than describing texts. Seer led to an important development in this regard.
Seer artificial intelligence works by connecting objects and images, just like a human brain. Similar to a large neural network, this new artificial intelligence needs more processing power 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 Qbo gave the robots he developed the ability to learn. In fact, these robots had the ability to share the information they acquired with each other.
