Recent advancements in deep learning have significantly transformed the field of human action recognition (HAR), enabling the development of sophisticated systems that accurately interpret human ...

The largest ever study of facial-recognition data shows how much the rise of deep learning has fueled a loss of privacy.

While AI is presenting sophisticated challenges, it is also providing an opportunity for business leaders to enhance their in-house security systems and grow responsibly.

When they introduced lesions to the area in the model selective for face recognition, they saw a big deficit in the model's ability to recognize faces.

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Companies like Microsoft and Google use deep learning to solve difficult problems in areas such as speech recognition, image recognition, 3-D object recognition, and natural language processing.

The accuracy of facial recognition systems has improved dramatically in recent years, though limitations remain. This post explores how accuracy improvements are changing the risks associated with ...

Face recognition was one of the first practical uses for AI to appear after vastly improved image processing algorithms using artificial neural networks surfaced in the early 2010s.