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A neural field network can create a continuous 3D model from a limited number of 2D images, and it does it without being trained on other samples.
Basically, while one AI is making a 3D environment, the 2D model will convert the new environment to 2D and assess whether or not the image is logically consistent.
A "radically different" flat map of the Earth has been produced by scientists who say it is more accurate than any previous 2D models that came before. The two-sided map is made up of two circles ...
Magnetism at atomically thin two-dimensional (2D) materials is of essential interest to scientists and engineers since it has the potential to revolutionize modern information technology enabling ...
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