Proceedings of the 1st Streaming Continual Learning Bridge at AAAI (StreamingCL 2026) co-located with 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), Singapore, January 21, 2026

Heitor Murilo Gomes, Andrea Cossu, Federico Giannini, Anton Lee, Nuwan Gunasekara, Emanuele Della Valle — AAAI 2026,

I served as a co-chair and presenter at the 1st Streaming Continual Learning Bridge at AAAI.

“Continual Learning and Streaming Machine Learning address complementary aspects of learning under non- stationary data, yet differ in objectives and assumptions, limiting interaction between the two communities. Streaming Continual Learning has recently emerged as a unifying paradigm that combines rapid adaptation to evolving data streams with selective knowledge retention. The Streaming Continual Learning Bridge brought together researchers working at the intersection of these areas to discuss open challenges in drift adaptation, forgetting, plasticity, and temporal dependencies. The contributions in this volume highlight recent methodological advances, practical tools, and application-driven perspectives, outlining future directions for learning systems operating under continuous distributional change”

Preface of the proceedings of the 1st Streaming Continual Learning Bridge at AAAI

Anton presenting at the workshop. Group photo of participants.