Generative AI and Large Language Models (LLMs) have recently emerged as transformative technologies, revolutionizing various fields with their ability to generate complex outputs across diverse modalities. While these models have driven significant advancements in areas like natural language processing and computer vision, their potential for scientific applications remains largely unexplored. In my talk, I present a few applications demonstrating the capabilities of LLMs to advance seismological research and enhance societal resilience to natural disasters. We estimate earthquake ground shaking intensity from multimodal social media posts and legacy data and show how these estimates align with independent observational data. We demonstrate how Gemini can contribute to a deeper understanding of earthquake impacts, improve natural disaster mitigation strategies, and potentially aid in rapid earthquake response and damage assessment. Through this example application, we aim to showcase the power and potential of generative AI and LLMs for applications in seismology and earthquake science.

*Refreshments: 10:30 AM - 11:00 AM (Atrium)