Propose a challenging, accessible, reproducible, fair, and community-relevant competition addressing a timely scientific, engineering, or societal problem.
Topics may include trustworthy and interpretable AI, robustness and fairness, autonomous agents, multimodal and graph learning, scientific AI, healthcare, climate, privacy-preserving learning, and other emerging areas within the scope of IJCNN.