Everything is learnt in brain and everything is done by brain. Student’s brain has advanced working mechanism to conduct knowledge transfer in learning process. In fact, the neuroscience of learning circuits describes the mechanism and motor application of human intelligence. Artificial intelligence (AI) has been evolved from the self-regulating mechanism of human intelligence (HI). We know that the technology of artificial intelligence is playing important part in data science through content categorization and object recognition.
Education provides conventional learning in school system. This is the age of science and technology but teaching is not the scientific system of knowledge transfer for students in classroom. Brainpage theory of learnography is the neuroscience of knowledge transfer. This is the scientific method of classroom in which students will finish everything for knowledge transfer using the dimensions of their brain learnography. Training is not essential for teachers in learnography but students are trained in learning mechanism to apply the query matrix, definition spectrum, task formator, segment solver, zeid compass, module builder and innovation derivative of brain circuits. The learning mechanism of our brain always seeks the matrix of knowledge to create the possibilities and sequences of brainpage modulation. It develops from the question set or titles of chapter segments and provides instance guided object learning (IGOL).