The new QAA automatically filters photos for suitability with facial recognition, and can cut comparison errors by 50% and liveness detection errors by 40%.
This innovative data augmentation technique, worked on by PhD student Teerath Kumar, Dr Alessandra Mileo, and Dr Malika Bendechache, holds immense promise in addressing persistent biases plaguing ...
Microsoft said it used thousands of real-world sample scams to train the machine learning model that underpins scareware blocker. It then uses computer vision to compare these samples with new ...
The new SmolVLM models are available in 256M and 500M parameter sizes SmolVLM can analyse images and process visual information at high speeds The open-source models are available with an Apache 2.0 ...
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