UAI (Uncertainty in Artificial Intelligence) Conference

The UAI (Uncertainty in Artificial Intelligence) Conference is an annual event where experts discuss methods for handling uncertainty in AI systems. It focuses on developing and sharing techniques for making reliable decisions, predictions, and reasoning when data is incomplete, noisy, or ambiguous. Attendees include researchers, practitioners, and students from fields like machine learning, statistics, and computer science, collaborating to improve AI's ability to manage uncertainty in real-world applications such as robotics, healthcare, and automated reasoning. The conference fosters innovation and knowledge exchange to make AI more robust and trustworthy.