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 closer to reality, thank.

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

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.

CBP is pushing its facial recognition infrastructure from pedestrian and air travel environments into the car lanes of land ...

Age inference gets its own volume in the newly published final report from the Age Assurance technology Trial commissioned by ...

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

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

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.