What's Happening?
NASA's Science and Technology Interest Group (STIG) is hosting a lecture series focused on artificial intelligence and machine learning (AI/ML). The latest session, scheduled for December 15, 2025, will
cover deep learning basics, including PyTorch and auto differentiation. The lecture will be presented by Phil Cargile from the Harvard-Smithsonian Center for Astrophysics. This series aims to enhance understanding and application of AI/ML in astrophysics, providing valuable insights into how these technologies can be leveraged for scientific research and discovery.
Why It's Important?
The integration of AI/ML in astrophysics is crucial for processing and analyzing vast amounts of data generated by space missions and telescopes. By educating scientists and researchers on AI/ML techniques, NASA is fostering innovation and efficiency in data analysis, which can lead to significant advancements in understanding the universe. This initiative supports the development of new methodologies for interpreting complex datasets, potentially accelerating discoveries in space science and enhancing the capabilities of future missions.
