Google’s AI program gets better at identifying human faces

Google’s AI program gets better at identifying human faces

September 11, 2021 Comments Off on Google’s AI program gets better at identifying human faces By admin

Google’s self-driving car program is getting better at recognizing human faces, according to a new study by researchers at MIT and Stanford.

The researchers’ study, which was published in the Proceedings of the National Academy of Sciences, shows the algorithm’s recognition accuracy improved as the program was trained on images of real people.

The research comes as the tech giant prepares to launch its self-drive car, the Model X, later this year.

The cars will be driven on public roads, where drivers will be required to wear face recognition technology.

The team behind the research also found that the algorithm is more accurate than humans at identifying faces of people of similar age and gender.

The research showed that the software was able to distinguish between the face of a person in a video game, the face in a movie, and a person with a different face shape.

Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory and Stanford University’s Machine Intelligence Research Institute used facial recognition software that mimics a human’s face to study the facial recognition algorithms.

They used the software to train a neural network to recognize faces, using an algorithm that uses neural networks to learn how to learn.

This process allows a system to learn by observing other systems, said Marko Kalogerovic, a professor of computer science at MIT.

Kalogerov is lead author of the paper, which describes a computer system that can detect faces by analyzing images of faces and using this information to build a model of their features.

The computer system then can learn to recognize the face by comparing that model with other faces that it has already seen.

This new work suggests that the system is more sensitive to faces than human experts, and it can also learn to distinguish faces that are different from the ones it has seen.

The researchers also found evidence that the computer system can use these features to learn the shape of people’s faces.

It is also able to learn what features are most similar to the face, and then make adjustments to the features to create a more accurate model.

The results suggest that the new technology can be used to recognize more faces, and that it could be used by companies to improve the accuracy of self-driven vehicles.