The principle behind the Little Star learning machine's ability to rapidly solve questions laid in its two brains. One was the primary brain of knowledge that was composed of more than 10,000 TB of data. It was stored in the server port. The other was the secondary brain of logic that was integrated into the AI chip of the learning machine.
When the Little Star scanned a question, the secondary brain of logic in the AI chip would operate at rapid speeds to determine the question type before comparing it with the primary brain of knowledge in the server port. It would then search for the answer in the big brain and get the strategies needed to solve the question. If it was a question based on memorization, it simply had to conduct an intelligent search to find the standard answer.