Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

Testing can occur by developing more accurate algorithms through the continued increased use of images of people of color for the training of the machine learning systems behind facial recognition.

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

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

AI, Machine Learning & Robotics research at Drexel University's College of Computing & Informatics (CCI) explores algorithms, mathematics, and applications of artificial intelligence (AI) through ...

Facial recognition is finally getting good enough to say something meaningful about our health. Are we ready for it?

Supermarkets in Alabama, Oklahoma, and Texas are selling bullets by way of AI-powered, facial recognition-embedded vending machines.

Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python environments, making it ...