Cortexica had the first commercial implementation of a deep convolutional network in a GPU back in 2010. Since then, computer vision has dramatically changed—as has the world surrounding deep learning. Nevertheless, in the real world, running a CNN is not always a possibility. Eduard Vazquez discusses current challenges that commercial applications based on this technology are facing and how some of them can be tackled.
Eduard Vazquez is head of research at Cortexica Vision Systems. His main research topics cover the study of color and perception, segmentation, medical imaging and object recognition. Eduard holds a PhD in computer vision from Universitat Autonoma de Barcelona, where he was also a lecturer in artificial intelligence and expert systems.
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