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Images are projected onto clean air

07.05.2004

A small American firm "102 Technology" has developed a method for projecting images into clean air.

The projector can work as a TV or computer monitor. Screenless projectors are known to throw an image onto a curtain of laminar fog or steam, but here a high-quality color image appears simply in the air above the projector.

So far, only two prototypes of the projector have been made: one gives an image with a diagonal of 105, the other - 38 centimeters. The image can be interactive, that is, you can use your hand, like a computer mouse cursor, to drag file icons and turn on one or another computer function.

Since the patenting of the device and process has not yet been completed, the company representatives do not give out a secret. They only say that a laser is used and that for work the projector passes air through itself without adding anything to it.

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Latest news of science and technology, new electronics:

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Energy from space for Starship 08.05.2024

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Alcohol content of warm beer 07.05.2024

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Random news from the Archive

Neural network vs. neural network 15.11.2018

Is it easy to distinguish a real photo from a so-called "photoshop"? In some cases, everyone can do this, very obvious editing artifacts are present in the images. There are even whole collections of funny photos where graphic editing is brought to the point of absurdity. But there are also such pictures where it is almost impossible to distinguish, as they say, reality from a fake.

Special techniques help to distinguish a real photo from a "photoshop". Some of them are based on technical analysis of the original graphical data. The fact is that different graphic tools leave their invisible imprints in the image. Therefore, it is possible to find traces of an image change, or to show that one image is assembled from several separate pieces, even if from a graphical point of view the installation was done perfectly.

Relatively recently, a new type of high-quality "fake" has appeared - images generated using machine learning methods. In other words, neural networks have learned, or rather taught them, to create images that are very, very similar to real ones. The problem of their identification lies in the fact that, unlike the classic "Photoshop", where the result, figuratively speaking, is glued together from different pieces, neural networks can create a complete image almost from scratch. A type of neural network called a generative adversarial network is especially good at this kind of task.

Such a network actually consists of two networks: the first, generative, learns to create images, and the other, discriminative, learns to distinguish images created by the first network from "real" ones. As a result of this competitive work, the generative network is able to create images that, in some cases, a person cannot distinguish from real ones. Particularly impressive are the results of the work of neural networks on the generation of human faces.

Researchers from the State University of New York (Korea) have developed a new method based on machine learning methods that will determine with a high degree of accuracy whether the image of a human face is generated by a neural network or is it a real photograph. The neural network trained by the researchers successfully coped with the difference between synthetic faces and photographs of real people.

The result of the operation of a generative adversarial network is always some kind of compromise solution aimed at obtaining a high-quality final result, and not a 100% victory for one of the networks. Whereas a network that only looks for differences can learn to do this very efficiently by finding traces of the operation of a generative adversarial network invisible to the human eye.

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