IWANN 2027

Areas of interest include mathematical and theoretical methods in computational intelligence; deep learning; learning and adaptation; emulation of cognitive functions; bio-inspired systems and neuro-engineering; advanced topics in computational intelligence; agent-based models; time-series forecasting; robotics and cognitive systems; interactive systems and BCI; machine learning for Industry 4.0; AI in health; AI in 5G technology; social and ethical aspects of AI; and general applications of AI. The programme combines invited talks, tutorials, workshops, posters, demos and functional prototypes, with full papers and posters accepted. Proceedings are planned in Springer’s Lecture Notes in Computer Science, with extended versions of selected papers in journal special issues. PeerJ Publishing sponsors best-poster and best-presentation awards for early-career researchers.