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Computer Vision: Overview of a Cutting Edge AI Technology - DZone AI

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Today's technology landscape is looking great. Artificial intelligence has begun to move from the margins to the mainstream of the global economy and has reached a great level of interest for businesses and the general public. Among the various disciplines of AI, computer vision is acquiring considerable momentum. Let's see what it is all about. Progress in artificial intelligence and robotic technologies tends to reduce the gap between humans and machines capabilities, although there is still a substantial way to go to meet the ultimate goal of a human-like machine.


The Ultimate Guide to Face Recognition

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With the revolution of machine learning, a new trend has come to town and it is called face recognition. When Apple announced its FaceID feature, everyone started talking and thinking about implementing face recognition everywhere – business, mobile apps, medicine, retail, and whatnot.


Deep learning advances are boosting computer vision -- but there's still clear limits

#artificialintelligence

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.


Deep learning advances are boosting computer vision -- but there's still clear limits

#artificialintelligence

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.


Computer vision applications: The power and limits of deep learning

#artificialintelligence

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 of 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.