Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for ...

Tipping points are abrupt and often irreversible shifts in complex systems, like the Earth’s climate or fluid flows. We introduce a machine learning framework to forecast future tipping points. While ...

To identify, develop, and apply advanced simulation, analytics, and modelling methods to business problems. CSAM undertakes thematic applied research through advanced study funded by research grants, ...

Large language models are increasingly embedded in agentic software systems that retrieve information, plan subtasks, call tools, modify code, execute tests, and adapt through memory or feedback. This ...

Generative AI has reshaped how software gets built. What began as line-by-line autocomplete now spans full application ...