Abstract:
This talk presents a comprehensive overview of artificial intelligence (AI) and deep learning (DL) methodologies applied to gravitational wave astronomy. We demonstrate how these advanced computational approaches enhance our capabilities in gravitational wave data analysis, spanning both detection and parameter estimation challenges. The presentation encompasses recent developments in processing data from various gravitational wave detectors, highlighting novel algorithms that have improved our analysis efficiency and sensitivity. We will also discuss our ongoing research, including recent submissions and work in progress, particularly focusing on how large language models (LLMs) are revolutionizing our approach to gravitational wave data analysis algorithms. The talk concludes with insights into how these emerging technologies might reshape future scientific discovery paradigms in gravitational wave astronomy.
