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Developers and business people need to better understand the legal implications of generative AI, a new study from Stanford University urges. That's because a wave of court cases may be coming, and ...

Abstract: Fine-grained image classification attempts to accurately classify images that are similar to each other. Multiview information is often used to improve the classification accuracy. Although ...

Abstract: Image classification is critical and significant research problems in computer vision applications such as facial expression classification, satellite image classification, plant (fruits, ...

Exploration of various deep learning CNNs (Alexnet, VGG-16, ResNet) for image classification on dataset Caltech-101. Transfer learning and data augmentation were applied to compare results with the ...

Example of implementing a pytorch image classifier service using AWS lambda. Cold start time can be 10-20 seconds. Subsequent inferences happen in approx 300-500 ms ...

Clockwise from top left: broadcast-spawning fish such as carp; small ectothermic insects including pollinating bees; endemic animals with limited latitudinal or elevation ranges such as the flightless ...