NASA

NASA is actively advancing space exploration through artificial intelligence, machine learning, and commercial partnerships. In a recent collaboration, NASA and IBM released an open-source lunar foundation model trained on 17 years of orbiter data. This model, which is publicly available on Hugging Face, helps researchers with tasks like crater detection and polar ice deposit prediction, reducing prediction errors for these deposits by up to 22 percent. Additionally, NASA and private firms are testing generative AI and machine learning models for orbital tasks and Mars rover route planning, while engineers work to manage the risks of non-deterministic autonomy in space. In commercial operations, NASA is paying 15 million dollars for a debris inspection mission named SSPICY. Conducted by Starfish Space, this mission utilizes the Otter spacecraft, scheduled for a fall launch on a Falcon 9 Transporter, to inspect multiple defunct, United States owned satellites. This initiative marks the first time NASA has funded a commercial debris inspection mission. These developments build on major milestones from earlier in the year, including the launch of the Artemis II mission, which sent humans toward the Moon for the first time since 1972, and the first AI-planned drive on Mars completed by the Perseverance rover.