As artificial intelligence becomes more and more mainstream, companies are aggressively using AI for retail operations. From the stockroom to the storefront, AI for retail is no longer a futuristic bu ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

In the case of flooding, human remains may be tangled among vegetation and debris. Therefore, a system could identify clumps of debris big enough to contain remains. A common search strategy is to ...

Among the many promising tools within AI, computer vision arguably stands out the most for its ability to create incredible innovations, especially in the medical field. However, before exploring how ...

Current computer vision and machine learning are built on solid software frameworks that make it easy to accomplish difficult tasks. OpenCV, one of the major libraries in image processing, provides a ...

Next, video data and still images are not the only optical inputs to consider in a machine vision system. Design engineers can also explore a variety of technologies to complement conventional visual ...

It is designed exactly like Complete Machine Learning Package, but it's even better. It covers foundations of computer vision and deep learning, state-of-the-arts visual architectures (such as ...

Source: IBM Corner cases and other challenges to accuracy The true image dataset is infinity, which in practical terms leaves most computer vision systems vulnerable to corner cases, potentially with ...