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learning, uncertainty, memory, action-conditioned prediction, and human-aware planning. Depending on the direction taken, generative models, multimodal foundation models, self-supervised learning, or latent
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. This provides an opportunity to study not only accuracy, but also reliability, latency, memory use, computational cost, and behaviour under realistic operating conditions. The broader goal is to move towards
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behaviour in 2D systems. Low‑energy device prototypes — cleanroom fabrication and cryogenic testing of switching and memory devices. web page For further details or alternative project arrangements, please
Searches related to learning memory behaviour
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