Students from the Technion's Henry and Marilyn Taub Faculty of Computer Science in Haifa, Nadav Bhonker (already graduated) and Shunit Haviv Hakimi, together with their advisor Professor Ran El-Yaniv have shown that it is possible to model and optimize personalized jazz preferences using artificial intelligence. Their paper on the research called the BebopNet project was published in the Proceedings of 21st International Society of Music Information Retrieval Conference. To people involved in the development of artificial intelligence technologies this is great news. The idea that something artistic, especially a field as personalized as jazz, can be recreated by AI is a major breakthrough. AI is a form of computer and as such can only really do what it has been pre-programmed to do and nothing as original as the composition of new and truly artistic sounding music.