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 ...

Engineers at the Korea Advanced Institute of Science and Technology have developed a way for robots to precisely grasp ...

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 ...

Formless 'slime' robots that shape-change to complete complex tasks – it sounds like science fantasy. However, MIT researchers have developed a machine-learning technique that brings shape-changing ...

Educational support for infants, toddlers and preschoolers with visual impairments requires highly individualized learning ...

Imagine sitting in a dark movie theater wondering just how much soda is left in your oversized cup. Rather than prying off the cap and looking, you pick up and shake the cup a bit to hear how much ice ...

Shape-selective neurons in inferotemporal cortex could carry information about either component parts or whole objects. A new paper now reports that whole-object shape selectivity is increased for ...

COLLEGE STATION, August 13, 2003 - They might not normally merit a second glance, but those everyday objects around the house are constantly undergoing intense scrutiny, categorization and ...