How to Train a Object Detection Engine with HOG in OpenCV

In the previous post, you saw that OpenCV can extract features from an image using a technique called the Histogram of Oriented Gradients (HOG). In short, this is to convert a “patch” of an image into a numerical vector. This vector, if set up appropriately, can identify key features within that patch. While you can …

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Emerging practices for Society-Centered AI

Posted by Anoop Sinha, Research Director, Technology & Society, and Yossi Matias, Vice President, Google Research The first of Google’s AI Principles is to “Be socially beneficial.” As AI practitioners, we’re inspired by the transformative potential of AI technologies to benefit society and our shared environment at a scale and swiftness that wasn’t possible before. …

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Emerging practices for Society-Centered AI

Posted by Anoop Sinha, Research Director, Technology & Society, and Yossi Matias, Vice President, Google Research The first of Google’s AI Principles is to “Be socially beneficial.” As AI practitioners, we’re inspired by the transformative potential of AI technologies to benefit society and our shared environment at a scale and swiftness that wasn’t possible before. …

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Moderate your Amazon IVS live stream using Amazon Rekognition

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and handles interactive video content from ingestion to delivery. With the increased usage of live streaming, the need for effective content moderation becomes even more crucial. …

The four building blocks of responsible generative AI in banking

The future of banking is generative. While headlines often exaggerate how generative AI (gen AI) will radically transform finance, the truth is more nuanced. At Google Cloud, we’re optimistic about gen AI’s potential to improve the banking sector for both banks and their customers. We also believe that it can be done in a responsible …

The mind’s eye of a neural network system

A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion should enable more confident application of neural networks in high-stakes decision scenarios or image prediction tasks like healthcare and research.