Speaker
Description
The field of astronomy is undergoing a transformative era, driven by the integration of artificial intelligence (AI) into its methodologies and practices. In this talk, I will explore how AI is revolutionizing the study of the cosmos by enabling astronomers to process vast datasets, uncover hidden patterns, and accelerate discoveries. From identifying exoplanets and classifying galaxies to detecting gravitational waves and monitoring transient celestial phenomena, AI has become an indispensable tool in addressing some of the most complex challenges in astronomy.
I will discuss key applications of machine learning and neural networks in analysing astronomical data, predicting celestial events, and enhancing imaging techniques for phenomena such as black holes. Additionally, I will address the challenges posed by AI, including issues of model interpretability, biases, and reliance on simulated data. Looking ahead, I will highlight emerging opportunities for AI in large-scale projects like the Vera Rubin Observatory and the democratization of astronomical research through open-access AI tools.
This session aims to inspire researchers and enthusiasts to embrace AI as a powerful ally in unravelling the mysteries of the universe while fostering critical discussions about its limitations and ethical implications. The session aims to explore how AI is not only reshaping our understanding of the cosmos but also redefining the future of astronomy itself.
