Integration & Straight Line

Abstract

This project demonstrates that integration and straight-line mathematics are not merely abstract classroom topics — they are the quantitative foundation upon which the entire field of modern AI is built. The NNO-2025 model concretely shows how these concepts operate together inside a working deep learning system: integration governs how errors are measured and how weights are updated, while linear functions define the computational structure of every neuron. By bridging theoretical mathematics and practical implementation, this project equips students with both the intuition and the code to understand — and build — real AI systems.

Research Team