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Rubbing a coin into the eye. Focus secret

Spectacular tricks and their clues

Directory / Spectacular tricks and their clues

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Focus Description:

You show the audience a coin, then "rub" it into the eye, and the coin disappears - as if "rubbed".

Focus Rubbing a coin into the eye

Focus secret:

The coin falls into the sleeve of the hand that "rubs" it. It is very important not to rush here. Bringing the hand with the coin to the eye, keep the forearm vertical. This is necessary so that the coin released from the fingers falls exactly into the sleeve.

The coin can also be rubbed on the forehead or cheek.

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Random news from the Archive

Computers see as well as primates 31.12.2014

For decades, neuroscientists have been trying to develop computer networks that could mimic the visual skills that the human brain does very quickly and accurately, such as recognizing objects.

So far, no computer model has been able to match the primate brain in terms of visual recognition of objects in a short glance. However, a new study from MIT scientists shows that the latest generation of so-called "deep" neural networks are well matched to the capabilities of the primate brain.

Scientists began building neural networks in the 1970s in hopes of mimicking the brain's ability to process visual information, recognize speech, and understand language. Neural networks are based on the hierarchical principle of representation of visual information in the brain: from the retina to the primary visual cortex, and then to the inferior temporal cortex, at each level, detailing up to complete identification. To mimic this process, scientists create multiple layers of computation in their neural network models. Each level performs a certain mathematical operation, and at each level, representations of a visual object become more and more complex, and unnecessary information, such as the location of the object or its movement, is discarded.

In the current study, scientists measured the brain's ability to recognize objects for the first time by implanting electrodes in the primate cerebral cortex, and then compared the results with the results of deep neural network calculations. The results showed that neural networks have reached the level of visual information processing corresponding to the primate brain.

Now scientists are going to improve neural networks, giving them the ability to track the movement of objects and recognize three-dimensional shapes.

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