Researchers mimic how we recognize faces through artificial intelligence ZDNet

MIT researchers have developed a computational model which aims to capture the human elements of facial recognition and implement it in our artificial intelligence (AI) and machine learning systems. On Thursday, MIT revealed the research, conducted at the Center for Brains, Minds, and Machines (CBMM), headquartered at the Massachusetts Institute of Technology. Microsoft to PC makers: Let's make some Windows 10 ARM-based PCs The five upstarts that are leading the AI and machine learning revolution Microsoft has reclaimed its birthright: Windows 10 to overtake Windows 7 within a year Here are some best practices for preventing DDoS attacks Microsoft to PC makers: Let's make some Windows 10 ARM-based PCs The researchers designed a machine learning system which implements the new model and they have trained it to recognize sets of particular faces based on sample imagery, resulting in a far more accurate and'human' way of recognizing faces. An interesting aspect of the model is the "spontaneous" addition of a facial recognition processing step which takes place when an image is displayed showing a face which is rotated -- such as 45 degrees to the left or right -- which was not included in the initial model. The team says this property appeared through the training process but was not part of the original brief.