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"Meschers" can create multi-dimensional versions of objects that break the laws of physics with convoluted geometries, such as buildings you might see in an M.C. Escher illustration (left) and objects that are shaded in impossible ways (center and right) (Credits: Alex Shipps/MIT CSAIL, using assets from Pixabay and the researchers).
CSAIL article

M.C. Escher’s artwork is a gateway into a world of depth-defying optical illusions, featuring “impossible objects” that break the laws of physics with convoluted geometries. What you perceive his illustrations to be depends on your point of view — for example, a person seemingly walking upstairs may be heading down the steps if you tilt your head sideways.

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alt="A new study by MIT researchers shows the first method for machine learning with symmetry that is provably efficient in terms of both the amount of computation and data needed (Credits: iStock, MIT News)."
CSAIL article

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science parlance, the molecule is “symmetric,” meaning the fundamental structure of that molecule remains the same if it undergoes certain transformations, like rotation.