The three pillars of AI: Symbols, Neurons and Graphs
IntroductionArtificial Intelligence (AI) is a topic that has been explored since the 1950s, most notably by Alan Turing. In the last decade, the field has become something of a craze and
IntroductionArtificial Intelligence (AI) is a topic that has been explored since the 1950s, most notably by Alan Turing. In the last decade, the field has become something of a craze and
After seven years as an application developer, Shraddha joined DSTI to follow the Applied MSc in Data Engineering for AI. Her background, why DSTI and the choice of Data Engineering programme,
After graduating with his master's degree in Applied Mathematics Data Science at Aix Marseille University, Mohamed joined DSTI to follow the Applied MSc in Data Science and AI in the
On Saturday 19th February, the best Masters, Specialised Masters & MBAs fair organised by EDUNIVERSAL took place, as it does every year. This fair is an opportunity for many students,
After obtaining a bachelor in engineering and a master in management at EDHEC Business School, Aditya decided to pursue a specialisation in data analysis, a field that he has discovered
You have just registered for one of our Applied MSc programmes and you have decided to come and study on the Paris campus, excellent choice! In order to enjoy one
You have just registered for one of our Applied MSc programmes and you have decided to come and study at our Sophia-Antipolis campus, excellent choice! In order to enjoy the
Congratulations! You have just enrolled for one of our Applied MSc programmes! You now need to prepare for your arrival in France so that you can make the most of
https://youtu.be/4I4PZRzZ2Zo No industry is immune to big data and artificial intelligence. Created in 2015, our higher education school Data ScienceTech Institute (DSTI), has been a pioneer in training in this
After obtaining his master's degree in geophysics-geotechnics, Jason decided to pursue a specialisation in data analysis, a field he has a real interest in.In order to combine knowledge and work