Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...
Application of a Neural Network trained with Reinforcement Learning method aimed to assign production resources to tasks in a production schedule during its execution.
Network theory has very many application areas, where graphs are of primary importance, in e.g.,: -Communication networks -Epidemiology -Systems Biology -Social networks. Social Media (e.g., Twitter, Facebook, Instagram, to name a few) has had a ...
Nowadays, Artificial Intelligence drives scientific and economic growth worldwide. This is largely due to advances in Machine Learning (ML), notably in Deep Neural Networks (DNNs), which are essentially massive ‘learning by experience/examples’ systems. T...
This is a 30 hour introductory course taught to fourth year engineering students at the ENSIMAG school of Informatics and Applied Mathematics at Grenoble Polytechnique Institut, Univ Grenoble Alpes.
This micro project studied the adaptation of automatic speech recognition (ASR) systems for impaired speech
