State-of-the-art "deep learning" algorithms are mainly concerned with pattern recognition, which they can only perform after being carefully trained on hundreds or thousands of examples.

2012: Artificial pattern-recognition algorithms achieve human-level performance on certain tasks. And Google’s deep learning algorithm discovers cats . 2014: Google buys UK artificial ...

Pattern recognition in relation to Artificial Intelligence (AI) refers to the ability of a machine or algorithm to identify and classify patterns from data, such as images, sounds, or other inputs.

Smart object recognition algorithm doesn't need humans Date: January 16, 2014 Source: Brigham Young University Summary: If we've learned anything from post-apocalyptic movies it's that computers ...

Researchers developed an algorithm that scans for faces, but also biases. After testing, it was able to reduce 'categorical bias' by over 60 percent, while performance remained consistent.

In an effort to protect people’s privacy, University of Toronto researchers have designed an algorithm that can dupe facial recognition detectors. Supplied by Joey Bose / University of Toronto; ...

Pattern Recognition Algorithm Recognizes When Drivers ... Berri and co have tested their algorithm in real time on a set of five videos of a driver taken using a dashboard camera at 15 frames per ...