Facebook's new AI learns to see without human assistance

Researchers explained that most artificial intelligence (AI) is still learning and working

only with human help. In some cases there is less intervention, but they often require algorithms that are created and curated by live scientists.

Now Facebook has shown how some AI algorithms can learn to do useful work without human assistance. The company has built an algorithm that has learned to recognize objects in images.

Facebook Seer algorithm taught based on morebillion images from Instagram, while he decides which objects are similar. For example, it can combine mustache, fur and pointed ears images into one folder. Then the algorithm was sent a small number of tagged images - so it was able to recognize the images and understand how it worked.

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“These results are impressive.Learning algorithms for independent work is a very difficult task, and breakthroughs in this area have important consequences for improving visual perception, ”the researchers noted.

It is noteworthy that the images on Instagram are notwere hand-picked to facilitate self-study. Facebook's research is a milestone for an approach to AI known as “self-learning,” added Facebook Chief Scientist Yang Lekun.

For example, in the future this technology can beused to train an algorithm to interpret medical images without the need to label scans and x-rays. This approach is already used to automatically generate hashtags for images on Instagram. 

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