Deep learning advances are boosting computer vision — but there’s still clear limits
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Deep learning advances are boosting computer vision - but there's still clear limits
This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI.
Since the early days of artificial intelligence, computer scientists have been dreaming of creating machines that can see and understand the world as we do. The efforts have led to the emergence of computer vision, a vast subfield of AI and computer science that deals with processing the content of visual data.
In recent years, computer vision has taken great leaps thanks to advances in deep learning and artificial neural networks. Deep learning is a branch of AI that is especially good at processing unstructured data such as images and videos.
These advances have paved the way for boosting the use of computer vision in existing domains and introducing it to new ones. In many cases, computer vision algorithms have become a very important component of the applications we use every day.
A few notes on the current state of computer vision
Before becoming too excited about advances in computer vision, it