The next report will be earlier, more than one week between our meeting and the report is too much time to remeber it.
But the good thing about time is that highlight the important things, usually. So the most important conclusions that I got from our meeting were:
– I´m pointing in the good direction trying to think about these «Experiment» for my research. After your meeting I came back at home wondering if my research could be a work of art itself and how could I make that possible. Today I have my doubts if the direction I took in these first experiments is the good direction. I have to think more on this and see what is really relevant for my research.
– Thanks to your answer to my question: What is your inner urge Sander?. I understood better what Jellichje was trying to explain us…(as easy as that…yes) and the difference with our mapping with Eyal Sivan. So I realize that I had my inner urge very clear and I talked with her about this. She told me that she didn´t feel the necesity of putting me an special assigment because I already got the real meaning of her workshop, so I put myself an assigment in order to explain my inner urge, she agreed. So in spite of my first doubts with this workshop I have to say that to make the exercise was worthy.
– This is the work that I told you was very interesting for me in the Stedelijk Museum (just in case you want to have a look).
Thanks!, I already practised it the past week with my boyfriend. I runned into him in the downtown, without him seeing me, so I decided to follow him, very very close, waiting for the moment he notice me. He noticed me ten minutes after!!!!…( I having my doubts about our realtion after this…jaja..)…
– And finally you told me: `Your first assigment is going to be «Not to say sorry»‘. I see your good intentions in this advice but I have to say that I´m sorry but I think I´m going to keep saying «sorry». I don´t mind if this «sorry thing» sounds very uncool, but the thing is that I´ve noticed that I say it in the usuals moments you say it in my spanish culture. So I´m afraid I´m not a rock start and I don´t care. Sorry.
Should we meet the next week? What day is good for you?.
«Queda todavía un hilo, el que comencé a desovillar al principio: La literatura como función existencial, la búsqueda de la levedad como reacción al peso de vivir.»
«La esencia de la realidad se encuentra, esencialmente, fuera de nuestro alcance. No existe la cosa-en-sí: sólo existen las relaciones entre las cosas.»
“Vivimos entre superficies y el verdadero arte de la vida consiste en deslizarse bien sobre ellas”.
RALPH WALDO EMERSON
[…] YOU SEE, MY HOME BRINGS TO ME VERY, VERY STRONG MEMORIES. I REMEMBER, BEFORE WRITING THE SCRIPT FOR THE MOVIE, I WAS VERY DEEPLY IN GRIEF BECAUSE OF THE DEATH OF MY GREAT-GRANDFATHER, & THAT HOUSE STOOD ALMOST ALONE. THE HOUSE WAS LEASED TO STUDENTS. THERE WAS A HUGE PILE OF TRASH UNDER THE STAIRS, IN WHICH RATS WERE LOOKING FOR FOOD. THE STUDENTS WERE TOO LAZY TO THROW OUT THE TRASH SO THEY SIMPLY THREW EVERYTHING OUT THE WINDOW. […][…] I PERFECTLY UNDERSTOOD & KNEW THAT LIFE IS VERY SHORT BUT I UNDERSTOOD LIFE DIFFERENTLY; I HAD A ROMANTICISED VISION OF LIFE. A CASA  IS A HOME I CREATED IN MY HEAD— NOT MY OWN HOME, BUT WHAT IS IN OUR HEADS, OUR HEARTS… IT’S SOMETHING THAT YOU CANNOT PUT INTO SIMPLE WORDS.
Except from a text based on a conversation between Šarūnas Bartas & Jurga Dikciuviene
Inventor, filmmaker, artist, poet, visionary… none of these titles are enough to define José Val del Omar. A man who was partly a crazy genius, a mystical shaman or a Dr Frankenstein, he died, forgotten by all and surrounded by his creations, his cameras, his machines and his cans full of rare, and mysterious films.
Bellow you can see an image of his laboratory, known as PLAT, a piece of art in itself. But what did this man do in this laboratory? Val de Omar was a man that created his own tools to express himself. He was a pioneer of the concept of video artists. He had a whole series of instruments, of inventions created to expand the screen, to break the limits of the screen, of the rectangle that closes the image. But in reality, he wasn´t especially interested in the technique themselves. He was interested in comunicating and transmiting what he felt. For example, to try to bring closer two things in the same scene he invented the Zoom, much before the one we know today was patented. And his efforts to try to reproduce the sound of water made him invent a system called “Diafonia”, a kind of “Dolby Sorround” predecessor.
For Val del Omar cinema is the starting point. From cinema he reaches other places more related to plastic experimentation. He was a filmmaker that was closer to conceptual art, closer to contemporary art than cinema reduced to 4 walls. His idea to expand the screen was the first thing that attracted me to him but also his mix of the real with the abstract. He himself defined his work as abstract documentarys.
Val del Omar burnt his first film because he found it unsatisfactory, and thereafter He burnt an unfinished film during more that 50 years.
Even the films he did finish he always closed with a “Sin Fin” “Without ending” .
Neural networks have been used with computers since the 1950s. Through the years, many different models have been presented. The perceptron is one of the earliest neural networks. It was an attempt to understand human memory, learning and cognitive processes. To construct a computer capable of «human-like thought», the researchers have used the only working model they have available – the human brain. However, the human brain as a whole is far too complex to model. Rather, the individual cells that make up the human brain are studied. Following is introduced the schema of the most used artificial neural network.
For the task of predicting the indexes, we’ll be using the so called multilayer feed forward network which is the best choice for this type of application. In a feed forward neural network, neurons are only connected forward. Each layer of the neural network contains connections to the next layer, but there are no connections back. Typically, the network consists of a set of sensory units (source nodes) that constitute the input layer, one or more hidden layers of computation nodes, and an output layer of computation nodes. In its common use, most neural networks will have one hidden layer, and it’s very rare for a neural network to have more than two hidden layers. The input signal propagates through the network in a forward direction, on a layer by layer basis. These neural networks are commonly referred as multilayer perceptrons (MLPs). Shown below is a simple MLP with 4 inputs, 1 output, and 1 hidden layer.