Listen.

One drone, four microphones and a loudspeaker: nothing more is needed to determine the position of walls and other flat surfaces within a room. This has been mathematically proved by Prof. Gregor Kemper of the Technical University of Munich and Prof. Mireille Boutin of Purdue University in Indiana, USA. (1)

The only way to see is to speak.

The only way to hear is to see.

The only way to taste is to cook.

Don’t you see?

There is nothing to see…

There is everything to create.

Your senses do not connect you with the cosmos.

They connect the cosmos with you!

Rough.

Photo by Spiros Kakos @ Pexels

Most natural and artificial surfaces are rough: metals and even glasses that appear smooth to the naked eye can look like jagged mountain ranges under the microscope. There is currently no uniform theory about the origin of this roughness despite it being observed on all scales, from the atomic to the tectonic. Scientists suspect that the rough surface is formed by irreversible plastic deformation that occurs in many processes of mechanical machining of components such as milling. (1)

In a rough cosmos we try to build mirrors.

In an ever changing universe we try to see patterns.

In a living cosmos we try to analyze death.

Staring on the calm lake.

Feeling good that we see out self.

Oh, happy man.

I know you would cry if you knew there is nothing to see.

Drawing. Seeing.

Photo by Spiros Kakos from Pexels

Drawing an object and naming it engages the brain in similar ways, according to research recently published in JNeurosci. The finding demonstrates the importance of the visual processing system for producing drawings of an object.

In a study by Fan et al., healthy adults performed two tasks while the researchers recorded brain activity using functional magnetic resonance imaging: they identified pieces of furniture in pictures and produced drawings of those pieces of furniture. The researchers used machine learning to discover similar patterns of brain activity across both tasks within the occipital cortex, an area of the brain important for visual processing. This means people recruit the same neural representation of an object whether they are drawing it or seeing it. (1)

We think what we see.

We speak what we think.

Draw a line.

Contain the cosmos on a paper.

And you will remain speechless.

Do you see?

We think what we speak.

We see what we think…

But who drew the first line? Who thought of that first thought? Who spoke the first words?

In the midst of silence, can you listen to yourself?

Stop looking.

In the void of everything, can you see anything?

Not seeing the tree… 

Photo by Spiros Kakos from Pexels

Researchers have shown how it is possible that objects stand out less when they are surrounded by similar objects. This surroundings-suppressing effect is caused by feedback from higher visual brain areas. The results of this research are important for a better understanding of the way in which the brain transforms incoming light into a cohesive image. (1

Wasn’t it obvious? 

That what we do not see is obvious? 

Being part of a vast ocean. 

Isn’t it logical that you cannot see individual drops? 

Living in a universe being. 

Isn’t is reasonable that we cannot see consciousness? 

In the forest of obvious. 

Isn’t it obvious… 

That anything obvious is not? 

Watch out for what you do not see. 

It is the only thing you do! 

Blurry images…

Photo by Spiros Kakos from Pexels

The ghost imaging technique forms an image by correlating a beam that interacts with the object and a reference beam that does not. Individually, the beams don’t carry any meaningful information about the object. The imaging technique works with visible light, x-rays and other parts of the electromagnetic spectrum and, when the structured light beams are generated computationally with spatial light modulators, can be performed with a low-cost single-pixel detector instead of a complex, expensive camera.

To apply ghost imaging to moving objects, the new method uses a small number of light patterns to capture the position and trajectory of the object. The researchers developed an algorithm to cross correlate this positional information with blurred images captured at different positions, allowing a clear image to be gradually formed. (1)

Looking at a blurry image.

Making it clearer with time.

The more you know, the more clear it gets.

But no matter how much we clear the initially blurry picture.

The fact will remain that when you first looked at it…

The picture WAS blurry…

And what is important is not that you saw it at the end.

But that you wanted to anyway see through it even though you saw nothing…

Do you get it now?

It is you who painted the picture.

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