Yoshua Bengio: Artificial Intelligence and Deep-Learning
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaConference of Yoshua Bengio, full professor in Artificial Intelligence at the department of Computer Science and Operations Research of Université de Montréal
GERAD: Reverse Stackelberg games: Theory and applications in traffic control
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaBig data & mixed-integer (nonlinear) programming
UQÀM, Pavillon Président-Kennedy, Salle PK 5115 201, avenue du Président-Kennedy, Montreal, québec, CanadaAndrea Lodi – Full professor, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making, Polytechnique Montréal. This conference is in english. "In this talk, I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer -- especially concerned with discrete...
Optimizing Google’s Cloud infrastructure
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaConference of Brian Eck – Google, États-Unis Google’s Cloud infrastructure consists of the servers, network, datacenters and software that run all of Google’s services like Search, Gmail and Youtube as well as it’s fast growing external business, Google Cloud Platform. We’ll discuss three case studies in optimizing this infrastructure, covering challenges not only in solving...
Opportunities and frontiers in machine learning for applied sciences
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaPresentation of Mohammad Attarian Shandiz – Université McGill, Canada Modern methods in machine learning have provided many opportunities for solving complex problems in applied science. Hence, for a data scientist is essential to be familiar with the most important and current fields of research in machine learning and data mining. In this talk, the most...