CENPARMI hosted the 6th annual conference on Artificial Neural Networks in Pattern Recognition in October 2014, following the success of ANNPR workshops of 2003 (Florence), 2006 (Ulm), 2008 (Paris), ...

In 1988, Concordia University established the Centre for Pattern Recognition and Machine Intelligence (CENPARMI) on the recommendation of its Senate and with the approval of its Board of Governors.

Pattern recognition: Machine learning improves at spotting trends as it processes more data. For example, e-commerce sites use it to recommend products based on shopping habits.

It’s a great concept, but requires pattern matching, machine learning, and insight. Insight is what lets people take the mental leap into a new area.

Machine learning is perfect for data analysis, pattern recognition, and prediction, all of which have significance for optimizing operations in industries such as banking, healthcare, and retail.