Titans: A Brain-Inspired AI Architecture Conquering Long-Sequence Modeling
Google researchers introduce Titans, a groundbreaking AI architecture inspired by the human brain's memory system. Addressing the memory limitations and scalability challenges of existing deep learning models in processing long sequences, Titans combine attention mechanisms with a neural long-term memory module. This allows for efficient processing and memorization of historical data, excelling in tasks like language modeling, genomics, and time-series forecasting. Further, its test-time learning capability enables dynamic memory updates based on input data, enhancing generalization and adaptability. Experiments show Titans significantly outperform state-of-the-art models across various long-sequence tasks, opening new avenues for AI advancements.