Abstract: Liquid-to-gas phase change actuators are pneumatic actuators that utilize liquid-to-gas phase transitions for actuation and have attracted attention as high-output, wirelessly driven ...
Abstract: Hierarchical Temporal Memory (HTM) offers a biologically-inspired approach to machine learning that stands apart from the dominant deep learning paradigm. HTM's focus on spatial-temporal ...
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