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.