BlogApplication CapyMOA: Efficient Machine Learning for Evolving Data Streams Dr. Heitor Murilo Gomes, 25. February 2026 Real-time data keeps changing – your models should too. CapyMOA brings high-performance stream learning and concept drift handling to Python, bridging MOA efficiency with practical usability....
BlogResearch Streaming Gradient Boosting: Pushing Online Learning Beyond its Limits Dr. Nuwan Gunasekara, 04. February 2026 Streaming Gradient Boosting (SGB) brings gradient boosting to evolving data streams—adapting models to concept drift in real time with strong accuracy and efficiency across classification and regression tasks....
BlogResearch Green Online Learning with Heterogeneous Ensembles Kirsten Köbschall, 29. January 2026 What if greener AI could also be more accurate? Discover how heterogeneous online ensembles like HEROS boost performance, cut resource costs, and adapt instantly to evolving data streams....
