Research from all publishers Recent studies have demonstrated a paradigm shift in engineering diagram analysis through the adoption of deep learning methodologies.

With the number of credit card transactions rapidly increasingly by the day, one University of Ottawa student is doing what ...

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

Bespoke fraud ML models are powered by algorithms that learn from historical data, picking up on behaviors and characteristics commonly associated with fraud.

The US banking technology has seen significant developments, with a strong focus on digital transformation to address evolving economic challenges and consumer demands.

In the Hype Cycle for Data Science and Machine Learning 2023 report, Gartner identified specific benefits that can be realized from Adaptive Machine Learning (ML).