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Imagine we have a set of computers running simulations. Those computers can be described by a group of features, for example its power consumption per hour and the total number of processes it can run per hour. From our R+D personnel, a series of programs are send to these computers so we have to perform some schedule to run the applications, but for our profit we wish to minimise the total consumption of the set of machines. Let's show some more detail: Computer 1 has a power consumption of 100 watts per hour and can run 10  high cpu-demanding processes per hour and 7 low cpu-demanding processes per hour at the same time. Computer 2 has a power consumption of 350 watts per hour and can run 60 high cpu-demanding processes per hour and 20 low cpu-demanding processes per hour at the same time. From the R+D area there are a set of at least 3125 high cpu-demanding processes and at least 710 low cpu-demanding processes to be processed. How many hours should our se

Doing a PhD involves building walls and then demolish them and build them back learning something during the process.

Since the current world-wide crisis began scientists have had very difficult times. Cuts in budgets and grants are a common difficulty that researchers have to handle in order to progress with their projects. Nevertheless, curiosity and perseverance  are major forces that can drive a scientist towards their goal even in such a harsh condition. However, there is a critical boundary that can kill the bravest researcher and this happens when the manager in charge of science in your own country; the one who has to protect you as a researcher, tells in a prestigious media that " we must now stop talking about the importance of science, and instead commit ourselves to the need for excellence in science " and " we need to change the number of researchers by maintaining and improving the quality of the contracts while reducing the quantity. "  You can find  the full article in this link . Of course the response of the scientific community has been quick, and with

They can solve complex, multi-dimensional optimization problems, model and predict customer behavior, process huge volumes of data extracting novel and useful information, and even beat strong chess grandmasters. However, they lack a fundamental stuff; the thing that makes us special: machines fail at understanding the world---see the Chinese room argument , by John Searle. Can we devise a computer capable of performing arts by itself? Can a computer program write a poem from scratch, with feelings and passion; the human essence? Not yet. Of course we can write a program that selects words at random following the syntactical rules of, say, the English language, but for sure it will not be as good as the average Joe at it. The brittleness of this program will be obvious to us. Now imagine we have a machine that is conscious; a machine that has the properties of a fully developed mind. Because the nature of computers is so different from our biological reality, will we be able to

Endless meanders in rivers of silver, synthetic in nature, makes us shiver. As old mathematicians long ago gone you keep counting alone. Now that the world is at your feet your eager beat is only for an elite. Many dreams of fame ephemeral thoughts, now a shame. I have taken you in adoption without considering any other option. In our sweet loneliness we see time passing by; tireless mess.