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.

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

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.

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

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

How Machine Learning Boosts Healthcare Cybersecurity We regularly apply ML algorithms in our software development projects and, specifically, in healthcare projects.