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Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.
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Nov 2025 — Dec 2025
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Introducing Nested Learning: A New ML Paradigm for Continual Learning
Google ResearchannouncementpositiveNov 10, 2025
Google Research introduces Nested Learning, a new ML paradigm that treats models as interconnected multi-level optimization problems to mitigate catastrophic forgetting in continual learning tasks.
“VP and Google Fellow at Google Research, co-author of the Nested Learning paper presented at NeurIPS 2025”
AI ResearchContinual LearningFoundation ModelsReinforcement Learning
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Titans + MIRAS: Helping AI Have Long-Term Memory
Google ResearchannouncementpositiveDec 8, 2025
Google Research introduces Titans architecture and MIRAS framework that enable AI models to process extremely long contexts with linear computational scaling by combining RNN speed with Transformer accuracy through test-time memorization.
“Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.”
Foundation ModelsAI ResearchLLMsReinforcement Learning