A new physics-inspired framework could become AI’s “periodic table,” helping researchers build smarter systems by keeping only the data that truly counts. Credit: Shutterstock Artificial intelligence is now routinely used to combine and interpret different kinds of information, including text, images, audio, and video. Yet one major obstacle remains. Developers must decide which algorithm is best suited for a specific task, and that choice is often complicated and time consuming in the fast