The Future of AI in Space Exploration: Insights from JPL NASA and ISRO Experts

In this episode, Asitang Mishra, a senior data scientist from JPL NASA, and Nitish Kumar, an AI team lead from ISRO, discuss the current and future applications of Artificial Intelligence in space exploration. They delve into how AI is transforming space missions, from satellite imagery analysis and space debris modeling to the automation of spacecraft systems. The conversation also covers the challenges and opportunities AI presents, the integration of AI into space agency workflows, and potential AI-driven advancements in space technology. Furthermore, the discussion touches on the necessity of AI literacy among space professionals, the impact of AI on job roles within the space industry, and the impact of AI advancements on regulations like ITAR. The guests also explore the broader implications of AI on the future of work, emphasizing the growing importance of AI in making space exploration safer, more efficient, and more innovative.

Chapters
  • (00:00) - Welcome to Those Space People: NASA and ISRO Experts Share Insights
  • (01:18) - AI's Role and Challenges in ISRO's Space Missions
  • (03:30) - How NASA is Leveraging AI: From ChatGPT to Spacecraft Autonomy
  • (05:05) - Exploring the Use of AI in Historical and Current Space Missions
  • (07:33) - The Impact of ChatGPT and AI on Space Agencies
  • (10:25) - The Future of AI in Space: Predictions and Possibilities
  • (18:17) - Leveraging AI for Knowledge Management and Innovation
  • (27:34) - Preparing for an AI-Driven Future in the Space Industry
  • (32:31) - Exploring AI's Role in Hardware: Limitations and Potential in the Physical World
  • (41:53) - Exploring the Capabilities of Large Language Models (LLMs)
  • (47:53) - AI's Impact on Space Debris Management and Traffic
  • (52:36) - The Future of Employment in the AI-Enhanced Space Industry
  • (56:11) - Navigating ITAR and Open Source in Space Tech
  • (01:01:10) - AI Teams and Projects Across ISRO Centers
  • (01:03:29) - Concluding Thoughts on AI's Expansive Potential