Transforming vast amounts of raw data into actionable knowledge is a challenging task. Researchers from JPL and the companies Qualcomm and Ubotica are developing AI algorithms to help process raw data for future space missions, more efficiently. SpaceX uses an AI autopilot system to enable its Falcon 9 craft to carry out autonomous operations, such as docking with the International Space Station (ISS), where it is contracted to carry out cargo deliveries for NASA.

NASA is developing a superintelligent Robonaut to fly with astronauts and help them with repetitive and high-risk tasks.

AI in Cloud Computing

In 2020, the Defense Innovation Unit (DIU) selected Microsoft and Ball Aerospace to build a system to show agile cloud processing capabilities supporting the U.S. Air Force’s Commercially Augmented Space Inter Networked Operations (CASINO) project.

Most AI, ML, and Superintelligent systems are not open source because as the systems get bigger and AI and ML algorithms become more complicated, this is taking a toll on open source. The bigger the systems get, the more difficult it is to share and use open-source.

Our Solution to Analyze Space Data from Various Sources

here is our basic schema. The difference is in the intelligence of the AI rules and the CNN design. We also use a better database, MariaDB, better suited for this type of analysis than Microsoft’s databases.

Here is why MariaDB is the best database to use for this type of application.