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...
A 40-year journey in data science and technology, from academia to industry
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaPresentation of Philippe Collard – Président, Le Link Inc., Canada Over the course of the past 40 years, I have been witness to and an actor of an amazing transformation in what we called "technology". My first exposure to this world was when I wrote my first program for an an IBM 360 on punch...
DIRO’s Women in computer sciences day
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaConference and networking: Interested in a career in computer sciences? Join us for the DIRO Women's day on March 16th, 2016 to meet passionate and inspirational women, that are currently working in the field of computer sciences and information technology as researchers or employees of prestigious companies such as Google and Ubisoft. When : Wednesday 16th...
Optimization days and PROMÉTHÉE days 2016
HEC Montréal 3000, chemin de la Côte-Sainte-Catherine, Montréal , québec, CanadaThe Optimization days are an annual event held conjointly with the Inter-university research centre on enterprise networks, logistics and transportation (CIRRELT) and the Group for research in decision analysis (GERAD). The themes of these days are focusing on theories, numerical methods and optimization applications. They give researchers interested in these fields the opportunity to meet...
Big data dans le domaine de la santé
Amphithéâtre Justine Lacoste - CHU Sainte-Justine 3175 Chemin de la Côte-Sainte-Catherine, Montréal, QC, CanadaLes opportunités et les défis du big data dans le domaine de la santé Pour cette édition du Hacking Health Café, nous avons réuni des professionnels de l'industrie de la santé et des chercheurs universitaires pour discuter de l'innovation dans le domaine de santé possible avec le big data, les données ouvertes et l'intelligence artificielle....
Contact MTL présente Yoshua Bengio!
Maison Notman 51 Rue Sherbrooke Ouest, Montréal, QC, CanadaLe professeur Bengio aura l'occasion de nous entretenir sur l'état actuel des développements technologiques et scientifiques en intelligence artificielle, ainsi que de l'importance de la délibération collective à propos des décisions à prendre ainsi que des impacts présents et futurs de cette technologie dans notre société.
Analyse des réseaux avec l’ESPUM!
École de santé publique de l’Université de Montréal 7101, avenue du Parc, 3ième étage, bureau 3014-8, Montréal, QC, CanadaÉcole d’été - Maîtriser l’analyse des réseaux de relations sociales L'École de santé publique de l'Université de Montréal organise cinq journées complètes pour appliquer l’analyse de réseaux de relations sociales dans les disciplines des sciences sociales et de la santé à des fins de recherche, d’évaluation, d’intervention et de gestion.
Deep Learning Summer School
Lieu sans nom Montreal, CanadaDeep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning....
Impact of online tracking on vehicle routing with dynamic travel
Université de Montréal, Pavillon André-Aisenstadt Pavillon André-Aisenstadt, Montréal, QC, CanadaWith an application in the pick-up of blood samples This talk analyzes the impact of vehicle tracking devices, such as global positioning systems, on a vehicle routing problem with time windows in the presence of dynamic customer requests and dynamic travel times. It is empirically demonstrated that substantial improvements are achieved over a previously reported...