This year, during my engineering formation, I participated in a great project: the development of a web application for EEG analysis. We worked with an innovative start-up specialized in neurofeedback, Mensia Technologies, who asked us to create the first prototype of the NeuroBrowse project.
Among other things, while working on the NeuroBrowse project with the start-up Mensia Technologies, we were asked to use machine learning to provide an automatic detection of anomalies in EEG recordings.
What happens when your teachers decide it’s a good idea to have you program something on a red-hot issue, such as complicated financial dark affairs like the infamous Paradise Papers?
It’s always fascinating to be given a new box full of LEGO bricks you never knew about and you discover can build these great machineries you’ve been working with for years, right? Well, I had the same feeling when I was introduced to compilation…Read More »Mico/Milang, a basic compiler
As their name implies, algorithmics deal with building, studying and optimizing algorithms (by reducing execution time or used memory for example). While the field comprises several grand directions such as algorithm design, complexity theory and analysis, all of these are closely related to each other which makes it kind of hard to treat ‘the science of algorithms’ as a whole.
Can we send a game into the Matrix and ‘re-virtualize’ it? Would it change its nature, its rules and its objectives, or could new technologies bring a freshness to some overused gameplays?