In this episode of The Data Standard, host Darren Kaplan talks about physics-based transfer learning with Olga Perera, a data scientist at NASA.
With it comes to space exploration, there’s limited access to data and the mission control center. Another challenge is unknown space factors, such as on Mars. Therefore, every space mission’s success greatly depends on smart technologies, such as AI and machine learning.
The development of a self-learning AI-powered system supported by physics-based transfer learning will solve those challenges. It will be able to process individually-collected data and learn from large data silos. It will be a self-evolving system that will be able to transfer knowledge to different, unknown physics parameters in space, such as gravity.
That wouldn’t be possible without cloud storage solutions. Cloud storage is critical for space exploration because it provides instant access to accurate data that supports the decision-making processes in space.
Tune in with Darren Kaplan and Olga Perera to find out more about physics-based transfer learning and how it will revolutionize space exploration.