Researchers at the Indian Institute of Science have developed molecular devices that can act as memory, logic, or learning elements within a single structure. By carefully designing ruthenium-based molecules and their ionic environments, the team created materials that adapt in real time, physically encoding computation and learning. This breakthrough merges chemistry and neuromorphic computing, opening the door to AI hardware that is energy-efficient, flexible, and capable of learning directly within its material.
