Called LOGAN, the deep neural network, i.e., a machine of sorts, can learn to transform the shapes of two different objects, for example, a chair and a table, in a natural way, without seeing any ...
To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes. When you look at a photograph of a cat, chances are ...
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Enhanced phase-shifting technique captures 3D shapes of moving objects with high precision
Researchers at the Institute of Science Tokyo have developed a neural-network-based 3D imaging technique that can precisely measure moving objects—a task long considered extremely challenging for ...
Instructional designers and educational technologists often talk about the potential for learning objects. Lego-like in their utility, learning objects are the small pedagogical chunks that can be ...
Robot arms are getting smarter and smarter all the time, and now a team from Georgia Tech has taught them how to make their own tools. These resourceful robots are first taught to match form and ...
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