Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three ...
Abstract: Domain adaptation is critical for learning in new and unseen environments. With domain adversarial training, deep networks can learn disentangled and transferable features that effectively ...
Abstract: The back-electromotive force (BEMF) model-based position estimation is attractive for sensorless permanent magnet synchronous motor (PMSM) drives. However, the conventional method cannot ...
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