AstroAI Lunch Talks - July 22, 2024 - Aquib Moin
22 Jul 2024 - Joshua Wing
The video can be found here: https://www.youtube.com/watch?v=7m6nafTJ_TY
Speaker: Aquib Moin (UAEU)
Title: Development & Deployment of AI/ML tools and utilities for NASA’s Habitable Worlds Observatory (HWO): A Case Study.
Abstract: In recent years, the field of Artificial Intelligence (AI) has witnessed unprecedented advancements, with the emergence of sophisticated models from the likes of OpenAI, Google, Meta and advancements in Machine Learning algorithms. This presentation delves into the deployment of Large Language Models (LLMs) and machine learning (ML) models for Astronomy and Space Research data analytics in general, and for NASA’s HWO in particular. It is an account of ongoing exploration of how AI/ML can facilitate fast and automated analysis of vast astronomical datasets, enabling higher accuracy and enhancing potential of discovery through integrating LLMs for natural language processing and ML models for operations like pattern recognition, predictive analytics, anomaly detection etc. The discussion will primarily focus on a brief overview of the deployment techniques, platforms and ecosystems used to operationalize these models, emphasizing on a transition from model development to deployment in enhancing data interpretation and R&D productivity.
Watch the talk below!