NASA Building ChatGPT-like System for Space Station
NASA is undeterred by the portrayal of AI systems in science fiction movies and is developing its own ChatGPT-like system for an upcoming space station. The space agency is working on a generative AI system that will enable astronauts and mission control to communicate with vessels and conduct experiments.
This technology is planned to be deployed on the Lunar Gateway, a space station orbiting the moon as part of the Artemis lunar program, scheduled for launch in 2028.
The goal is to establish conversational interactions between humans and space vehicles, allowing for alerts and sharing of interesting findings in the solar system and beyond. Larissa Suzuki, a visiting researcher at NASA, highlighted the practicality and non-fictional nature of this advancement during a meeting on next-generation space communication. However, the aim is to avoid the malfunctions experienced by fictional AI systems like HAL in “2001: A Space Odyssey.”
The NASA system could potentially detect and resolve data transmission glitches, eliminating the need to send engineers in such situations. It would also provide quick access to relevant information, reducing the reliance on technical manuals. Overcoming the challenge of machine learning in space without extensive data transfers to Earth is a key consideration. Suzuki suggested the possibility of local information sharing among a fleet of rovers.
According to NASA, AI and machine learning will play a crucial role in managing and operating engineered systems for long-duration space missions.
The goal is to establish conversational interactions between humans and space vehicles, allowing for alerts and sharing of interesting findings in the solar system and beyond. Larissa Suzuki, a visiting researcher at NASA, highlighted the practicality and non-fictional nature of this advancement during a meeting on next-generation space communication. However, the aim is to avoid the malfunctions experienced by fictional AI systems like HAL in “2001: A Space Odyssey.”
The NASA system could potentially detect and resolve data transmission glitches, eliminating the need to send engineers in such situations. It would also provide quick access to relevant information, reducing the reliance on technical manuals. Overcoming the challenge of machine learning in space without extensive data transfers to Earth is a key consideration. Suzuki suggested the possibility of local information sharing among a fleet of rovers.
According to NASA, AI and machine learning will play a crucial role in managing and operating engineered systems for long-duration space missions.
