## Introduction The Coordinate Matrix Machine (CM$^2$) is a new automatic learning model designed to improve human intelligence. This model is based on the idea that humans learn new concepts from a single example, whereas machine learning algorithms typically require hundreds of samples to learn a single concept. CM$^2$ is a Green AI solution that uses document structures to classify documents. This model is designed to be efficient and optimized for CPU environments, making it suitable for applications with limited resources. ## Benefits CM$^2$ offers several benefits over traditional machine learning models. This model can classify very similar documents using only one sample per class, achieving high accuracy with minimal data. In addition, CM$^2$ offers a sustainable and optimized solution for CPU environments, making it suitable for applications that require limited resources. ## Conclusion The Coordinate Matrix Machine (CM$^2$) is a new automatic learning model designed to improve human intelligence. This model offers a Green AI sustainable and optimized solution for CPU environments, making it suitable for applications with limited resources.