In this webinar I will discuss how “Scientific Computing”, has influenced and helped advance many research fields and more importantly -perhaps- how it has outgrown into its own area of research. Many times, it is also referred as the ‘third leg’ of science, representing the importance and substantial contributions in comparison and complementary to the well-known experimental-theory dichotomy. By presenting examples from my own research (quantum gravity, computational astrophysics and complex networks), I will mostly focus in the realm of Physics, although the concepts and ideas I will present and discuss are and can be applied to a larger spectrum of disciplines. Among the best known applications of “Scientific Computing” are the so-called “High-Performance Computing”, “Data Analysis”, and of-course one of the most active areas in the last years: “Artificial Intelligence”. I will argue that sometimes the differences and separations in the actual techniques employed in each of these categories are quite subtle and in many cases they naturally blend together, although in other ones the differences are very clear and remarkable. I will finish by offering a quick overview of the techniques to come and resources for those interested in learning these methods and applying them to their own fields.
Link to the slides (PDF includes hyperlinks and embedded movies)