Unverified50% confidenceFactExact time
Google's Titans architecture introduces an independent neural memory module that updates its own weights in real time during inference, enabling the model to continuously adapt to new data at the inference stage without retraining the entire model.
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10/26/2026
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UnverifiedA neural memory module is a class of subnetwork whose parameters can be dynamically updated during model inference, usually implemented as key-value storage or a differentiable memory matrix, with its weights themselves adjusted in real time along the input stream.74% similarUnverifiedNeuron AI has built-in memory, which NEURA says is based on causality and object permanence, and for this it reshaped the architecture and built dedicated datasets for training.72% similarUnverifiedOrchestration frameworks extend the practical boundaries of models by building a perception-memory-action enhancement layer outside the model, without retraining the model.69% similarUnverified上下文图谱为智能体提供了介于临时上下文和模型权重微调之间的中间层记忆机制，可在不改变底层模型的前提下持续积累经验68% similarUnverifiedReal-time classifiers are auxiliary neural networks deployed in model inference pipelines, typically built on fine-tuned small language models or BERT-class architectures.68% similar
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