Track 01
Foundations of AI
Theory, algorithms, learning paradigms and AI systems that underpin the field.
Three days of expert talks, panels, mentoring, workshops, posters and an interdisciplinary AI challenge — organised across six research tracks.
Theory, algorithms, learning paradigms and AI systems that underpin the field.
Models, creativity, synthesis and the rapidly expanding space of generative applications.
Ethics, fairness, accessibility and societal well-being in AI systems.
Domain-driven AI for real-world problems, innovation and deployment.
AI that collaborates with, empowers and enhances human potential.
AI for teaching, learning, adaptive systems and the future of education.
A day-by-day view of the conference across 03–05 December 2026. Sessions, talks and timings are tentative and will be confirmed closer to the event.
Register to attend, present a poster, or enter the interdisciplinary AI challenge.