Facial recognition has become more widespread and accurate in recent years, as an artificial intelligence technology called deep learning made computers much better at interpreting images.

“As such, face recognition has undergone an industrial revolution, with algorithms increasingly tolerant of poor quality images. Whether the revolution continues or has moved into a more evolutionary ...

The field of study has recently delved into machine learning and artificial intelligence (AI) based techniques for image recognition, classification, detection, and more.

By using machine learning, they created an image that looked like one person to the human eye, but was identified as somebody else by the face recognition algorithm—the equivalent of tricking ...

Indore: Imagine walking into a lecture hall and being marked present without saying a word. This futuristic experience is now ...

Facial recognition algorithms will always make mistakes. But how can we make them less discriminatory?

Meta-Learning This is a less popular type of machine learning algorithm, but in many ways, it is both the easiest to understand and the most powerful.