Explore cutting-edge research in artificial intelligence and machine learning through this 17-minute conference session from the Uncertainty in Artificial Intelligence (UAI) 2023 conference. Dive into seven poster spotlights covering diverse topics such as point process inference, geometric analysis of GNN embeddings, query-adaptive variational inference, diffusion Schrödinger bridges, Bayesian inference in reinforcement learning, probabilistic dependency graphs, and robust Gaussian process regression. Gain insights into novel methodologies, theoretical advancements, and practical applications presented by leading researchers in the field. Learn about innovative approaches to handling uncertainty in AI systems and discover potential directions for future research and development in this rapidly evolving domain.