Upcoming Luncheon Meeting - Wednesday 28 February 2018
SPEAKER: Andrew Stewart, DFO
TITLE: Towards a Canadian Integrated Ocean Observation System
ABSTRACT: Canada's ocean science community which includes the federal government, academia, small businesses, not-for-profit organizations, and other research partners, collect and synthesize physical, chemical and biological ocean observations. This information is used for discovery research purposes, to model ocean changes and provide environmental assessment advice, support resource management decision-making, and establish baseline data for long-term monitoring.
Canada's ocean community collects large amounts of data but, aside from building comprehensive ocean observatories (Fisheries and Oceans Canada (DFO) et al. 2010), there is no easy mechanism to integrate data from various sources to allow the exploration of interrelationships among variables, and no coordination and collaboration mechanism for the ocean community as a whole to generate an efficient system (Ocean Science and Technology Partnership (OSTP), for Fisheries and Oceans Canada (DFO) 2011). Consequently, we observe fragmented and isolated data - which may never be used outside of a specific project because it is not discoverable by other potential end users.
Canada's ocean science community (Wallace et al. 2014), led and supported by Fisheries and Oceans Canada (DFO), is advancing the development of a Canadian Integrated Ocean Observation System (CIOOS) that brings together and leverages existing Canadian and international ocean observation data into a federated data system which will generate value for users. This integrated ocean observing system (Wilson et al. 2016) will improve coordination and collaboration among diverse data producers, improve access to information for decision making, and enable discovery and access to data to support a wide variety of applied and theoretical research efforts to better understand, monitor, and manage activities in Canada's oceans.
PLACE : Rideau Canal Junior Ranks Mess, 4 Queen Elizabeth Drive, Ottawa. Side entrance, Harmony Room, 4th floor (elevator available)
COST : $25 non members; $20 members & their spouses; students $10
TIME : 12:00 noon, Wednesday 28 February 2018
MENU: to be announced
PARKING: On street parking in the vicinity
RSVP: Please confirm your attendance no later than Friday 23 February by Doodle (click here)
Alternatively, please contact any of the following to be added to our list, or if you have problems with Doodle:
Martin Gauthier 613-730 7608 ext 2520; email: email@example.com
Ann McMillan 613-831-5851; email: firstname.lastname@example.org
Paul Pestieau 613-990-6855; email: Paul.Pestieau@canada.ca
Bob Jones 613-820-6336; email: email@example.com
Daria Bradbury 613-949-9119; email: Daria.Bradbury@dfo-mpo.gc.ca
Hoy Chow 819-938-4429; email: firstname.lastname@example.org
Tom Zagon: 613-992-8431; email: email@example.com
CANCELLATION: If you need to cancel, please change your Doodle information as soon as possible or let a contact person know so we can cancel your food order.
NEXT MEETING: Wednesday 28 March, Gilbert Brunet (CMOS Tour Speaker)
The Canadian Association for the Club of Rome (CACOR) (collaborator with CMOS Ottawa)
CACOR cordially invites you to a Luncheon
Title: A brief look into the past, present, and future of machine learning
Date: Wednesday February 21st
Speaker: Kevin Cheung
Place: Army Officers' Mess, 149 Somerset Street West, Ottawa
Cost: $25 general admission; $20 for members, their spouses and student guests.
The downstairs ante-room and dining area will be open at 11:30 for those who wish to meet and greet friends and colleagues prior to lunch.
Please confirm attendance by replying to this e-mail on or before Monday February 19th. Please remember that CACOR is responsible for payment of guests who have registered. If you register and need to change your commitment, please inform us as well before Monday February 19th. Thank you for your assistance in this matter. We unfortunately will follow up with an invoice for those who were not able to honour their commitment.
In order to accommodate all members, associates and guests please indicate your presence to this event as soon as possible. Please indicate as well your dietary needs. The Mess can prepare alternative for either vegetarian or vegan meals.
About the presentation:
Recent advances in machine learning research have led to systems that rival or even exceed human performance in a variety of domains that include image classification, medical diagnosis, voice recognition, and game playing. Interestingly, some of the core ideas on which these systems are based have been in existence for decades. In this presentation, we will take a look at a few of the important milestones in artificial intelligence research. We will take a quick dive into artificial neural networks and consider some of the issues in their design and training. We end by making some speculations on the future impact of machine learning.
About the speaker:
Kevin Cheung has been a faculty member of the School of Mathematics and Statistics at Carleton University since 2005. After completing his PhD. at the University of Waterloo in 2003, he spent two years at the Massachusetts Institute of Technology as a Natural Sciences and Engineering Research Council (NSERC) Postdoctoral Fellow. In addition to discrete optimization, his current academic interests include designing and developing teaching tools and exploiting technology to help students attain mastery.
View Ottawa CACOR Web Site