At a time when adult education is being digitized at breakneck speed, a counter-trend is asserting itself: that of a return to the body, to materiality and to objects as living supports for learning.
Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...
Join Nyssa Buning of the National Museum of American History’s Spark!Lab and Carol O’Donnell and Hannah Osborn of the Smithsonian Science Education Center to explore strategies for cultivating an ...
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