At this year’s EarthVision conference, Ph.D. student Ando Shah received the Best Paper Award for “Panopticon: Advancing ...

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), ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

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.

For students of data science and machine learning, though, it’s crucial to select a laptop that actually meets your hardware needs for two main tasks - Data Analytics and Fine-Tuning an LLM. 1.

Machine learning models thrive on high-quality data. For businesses operating in data-intensive environments, ensuring that data is structured, clean and ready for analysis is critical.