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DTSTART;TZID=America/New_York:20160219T104500
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UID:5178-1455878700-1455883200@vieux.ivado.ca
SUMMARY:Optimizing Google's Cloud infrastructure
DESCRIPTION:Conference of Brian Eck – Google\, États-Unis \nGoogle’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 the analytical problems but also in solving the business problems to reach real implementation and impact. Case studies will include some subset of: \n\nOptimizing build frequency for adding capacity to the network\,\nAnalyzing scenarios of metro network topology to inform strategy\, including cost implications of adjusting forecasts\,\nBuilding ‘forecast tolerant’ networks that buffer for fault-tolerance and forecast variation\,\nLow-cost methods of physical grooming on a city-level fiber infrastructure\,\nReducing stranded compute resources through simulation\,\nIncreasing resource utilization through statistical oversubscription.\n\n  \nGERAD seminar\nFebruary 19th\, 2016 at 10:45AM – 12:00PM (Noon) \nRoom 4488\nPavillon André-Aisenstadt\nCampus de l’Université de Montréal\n2920\, chemin de la Tour Montréal QC H3T 1J4 Canada
URL:https://vieux.ivado.ca/en/events/5176/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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DTSTART;TZID=America/New_York:20160122T160000
DTEND;TZID=America/New_York:20160122T170000
DTSTAMP:20260422T180555
CREATED:20160121T031418Z
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SUMMARY:Big data & mixed-integer (nonlinear) programming
DESCRIPTION:Andrea Lodi – Full professor\, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making\, Polytechnique Montréal.\nThis conference is in english. \n“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 (integer) decisions — on the subject. I advocate a tight integration of Data Mining\, Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science. Those challenges are the core of the mission of the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” that I hold.” Prof. Andrea Lodi.
URL:https://vieux.ivado.ca/en/events/big-data-mixed-integer-nonlinear-programming/
LOCATION:UQÀM\, Pavillon Président-Kennedy\, Salle PK 5115\, 201\, avenue du Président-Kennedy\, Montreal\, québec\, Canada
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DTSTART;TZID=America/New_York:20160118T100000
DTEND;TZID=America/New_York:20160118T120000
DTSTAMP:20260422T180555
CREATED:20160114T014839Z
LAST-MODIFIED:20160207T230348Z
UID:5137-1453111200-1453118400@vieux.ivado.ca
SUMMARY:GERAD: Reverse Stackelberg games: Theory and applications in traffic control
DESCRIPTION:
URL:https://vieux.ivado.ca/en/events/gerad-reverse-stackelberg-games-theory-and-applications-in-traffic-control/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20150910
DTEND;VALUE=DATE:20150911
DTSTAMP:20260422T180555
CREATED:20160112T040644Z
LAST-MODIFIED:20190627T125103Z
UID:3958-1441843200-1441929599@vieux.ivado.ca
SUMMARY:Yoshua Bengio: Artificial Intelligence and Deep-Learning
DESCRIPTION:Conference of Yoshua Bengio\, full professor in Artificial Intelligence at the department of Computer Science and Operations Research of Université de Montréal \n 
URL:https://vieux.ivado.ca/en/events/yoshua-bengio-intelligence-artificielle-et-apprentissage-profond/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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