{"id":6111,"date":"2025-12-08T12:36:42","date_gmt":"2025-12-08T12:36:42","guid":{"rendered":"https:\/\/www.stanventures.com\/news\/?p=6111"},"modified":"2025-12-08T12:38:22","modified_gmt":"2025-12-08T12:38:22","slug":"google-research-announced-titans-miras","status":"publish","type":"post","link":"https:\/\/www.stanventures.com\/news\/google-research-announced-titans-miras-6111\/","title":{"rendered":"Google Research Announced Titans + MIRAS"},"content":{"rendered":"

Google Research has announced Titans and MIRAS, a new architecture-and-framework duo designed to help AI models learn, update, and retain information while they are running, enabling them to handle massive context windows far beyond what today\u2019s transformers can process.\u00a0<\/b><\/p>\n

In a year where AI models continue to hit limits around memory, speed, and context length, Google\u2019s latest research signals a major shift in how machine learning systems can adapt in real time.<\/span><\/p>\n

This news lands at a time when transformer bottlenecks are becoming painfully obvious.\u00a0<\/span><\/p>\n

The world is generating longer documents, more complex sequences, larger genomes, and richer multimodal data streams.\u00a0<\/span><\/p>\n

And today\u2019s architecture struggles to keep up. Titans and MIRAS<\/a> aim to fix that, not with incremental tweaks, but with a fundamental rethinking of how AI memory should work.<\/span><\/p>\n

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