This week, Microsoft Research announced its newest deep learning project had outperformed humans in a test to identify objects in digital images.

This is possible due to deep learning’s representation of signage as statistical and spatial relationships between colors and textures, rather than as a high order semantic object like humans.

High Accuracy: Deep learning models can achieve state-of-the-art performance on many tasks, often surpassing human-level accuracy in areas like image recognition and language understanding.

Adversarial attacks are not something new to the world of Deep Networks used for image recognition. However, as the research with Deep Learning grows, more flaws are uncovered. The team at the ...

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Researchers have automated brain MRI image labeling, needed to teach machine learning image recognition models, by deriving important labels from radiology reports and accurately assigning them to ...