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But most machine learning researchers and developers use one of several tried and tested convolutional neural networks such as AlexNet, VGG16, and ResNet-50. Object-detection networks need to be ...
Object detection is a supervised machine learning problem, which means you must train your models on labeled examples. Each image in the training dataset must be accompanied with a file that ...
Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should check ...
The rise of real-time object detection and CNN models like YOLO is powering operational efficiency across ports, warehouses, ...
Their new research focuses on automated detection of landmines using convolutional neural networks, the standard machine learning method for object detection and classification in the field of ...
James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. British chip designer ARM is the latest firm to prime the AI pump with specialized hardware ...
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News-Medical.Net on MSNMachine learning boosts accuracy of point-of-care disease detectionWhat if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter ...
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