The rapid rise of artificial intelligence tools has transformed how content is created, processed, and delivered. From automated writing assistants to multimodal generation systems, the capabilities of AI have expanded quickly over the past few years. But as many organizations are discovering, AI itself is no longer the primary constraint. The bigger challenge lies in […]
Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.