Titans is a novel neural architecture designed by Google Researchers to address the limitations of Transformers and recurrent models in handling long-term dependencies. By integrating a dynamic neural memory module with traditional attention mechanisms, Titans enable efficient learning and memorization of information over extremely long sequences (exceeding 2M tokens). Inspired by human memory systems, Titans…