Artificial Intelligence for Fast Data Analysis and Fast Transient Detection Applications

This thesis explores the integration of artificial intelligence with machine learning techniques to enhance the study of transient astronomy. By developing bespoke machine learning models, the research aims to automate the identification of fast cosmic explosions, known as transients, and discover new classes of short-duration optical transients. This work contributes significantly to the field of transient astronomy by improving the efficiency and accuracy of transient detection, thereby advancing our understanding of the universe and its dynamic events. Through this innovative approach, the thesis presents a valuable contribution to the methodology and science of observing the cosmos.