Events
Fields-CQAM Public Lectures: Ali Ghodsi, University of Waterloo
What is missing from common practice in machine learning?
AI, and machine learning in particular, is enjoying its golden age. Machine learning has changed the face of the world over the past two decades but we are still a long way from achieving a general artificial intelligence. In this talk, I will discuss a couple of elements that I believe are missing from common practice in machine learning, including incorporating causality and creating a new framework for unsupervised learning.
Biography
Ali Ghodsi is a Professor in the Department of Statistics and Actuarial Science at the University of Waterloo. His research involves statistical machine-learning methods. Ghodsi’s research spans a variety of areas in computational statistics. He studies theoretical frameworks and develops new machine learning algorithms for analyzing large-scale data sets, with applications to bioinformatics, data mining, pattern recognition, robotics, computer vision, and sequential decision making.
DATE:
THURSDAY, JUNE 20TH, 2019.
PRESENTATION
6:00 PM – 7:00 PM.
NETWORKING
7:00 PM – 8:00 PM.
LOCATION
HEALTH SCIENCE BUILDING, RM. 1301 (LOCATED ON THE GROUND FLOOR), CARLETON UNIVERSITY.
FREE ADMISSION FOR THIS PUBLIC LECTURE.
PLEASE REGISTERÂ HERE.
8:30 am – 9:00 am | Registration | ||
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9:00 am – 9:15 am | Opening Remarks | Rafik Goubran | Carleton University |
9:15 am – 10:00 am | Keynote Presentation:
Data Mining and Machine Learning for Authorship and Malware Analyses |
Benjamin C. M. Fung Biography |
McGill University |
10:00 am – 10:30 am | Break | ||
10:30 am – 11:45 am | Cybersecurity: Top 5 class imbalance ML challenges and data sets Abstract |
Stephan Jou Biography |
Interset |
Class Imbalance in Fraud Detection Abstract |
Robin Grosset Biography |
MindBridge Analytics Inc. | |
Handling class imbalance in natural language processing Abstract |
Isuru Gunasekara Biography |
IMRSV Data Labs | |
11:45 am – 12:45 pm | Lunch | ||
12:30 pm – 2:10 pm | Adaptive learning with class imbalanced streams Abstract |
Herna L. Viktor Biography |
University of Ottawa |
Radar-based fall monitoring using deep learning Abstract |
Hamidreza Sadreazami Biography |
McGill University | |
Privacy-preserving data augmentation in medical text analysis Abstract |
Isar Nejadgholi Biography |
National Research Council | |
Failure modelling of a propulsion subsystem: unsupervised and semi-supervised approaches to anomaly detection Abstract |
Julio J. Valdés Biography |
National Research Council | |
2:10 pm – 2:25 pm | Break | ||
2:25 pm – 3:40 pm | TBD | Reddy Nellipudi | DB Schenker |
AuditMap.ai: Hierarchical Sentence Classification in Unstructured Audit Reports Abstract |
Daniel Shapiro Biography |
Lemay.ai | |
Deep Learning techniques for unsupervised anomaly detection Abstract |
Dušan Sovilj Biography |
RANK Software Inc. | |
3:40 pm – 3:50 pm | Closing Remarks |
Technological Stewardship is a new concept intended to focus on the promise of technology to create a better future for society today and avoid the negative consequences. While Technologies have the promise to address key issues and create a better future, new developments often amplify inequities and create new kinds of risk. What does this mean for how to move
forward?
Through this interactive 2-hour workshop, you will learn about Technological Stewardship and develop your ability to ensure technology makes the world a better place for all. You will also be introduced to a powerful tool for practically integrating these concepts into the product design/development process.
Facilitator:
Mark Abbott is the Executive Director of the Engineering Change Lab, which serves as a catalyst for evolving the engineering community to reach its full potential as stewards of technology for the benefit of humanity. Over the past 5 years, over 125 organizations and 350+ individual leaders (CEOs, VPs, Deans, Directors) have collaborated using the Lab’s platform advancing understanding and action to evolve engineering. Previously, Mark served as member of the Executive Team at Engineers without borders for several years.
This interactive workshop is limited to 45 attendees so as to create an optimal interactive and learning environment. This series of workshops is planned to have subsequent workshops taking place in March and April. We are especially interested in professionals willing to tryout the powerful tools and providing feedback on integrating the concepts into the product design / development process.
IEEE Ottawa Seminar Series on AI and Machine Learning
IEEE Ottawa Section, PHO Chapter,
CS Chapter, SP Chapter, TEMS Chapter
Jointly with Vitesse
Reskilling
The Rise & Foreseeable Future of
Artificial Intelligence:
Observations from a Commercial Pioneer
Peter MacKinnon
Synergy Technology
Management
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Wednesday, March 18, 2020
359 Terry Fox Drive, Suite 200, Kanata, Ontario
11:30 – 13:30
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Artificial Intelligence (AI) is constantly in the news
with stories of promise and peril.
Political leaders have declared it a national priority, the global high
tech industry is racing AI apps to markets and policy and governance
implications of AI are in their infancy.
We will explore where this is all heading.
We will begin with some definitions and a bit of
history behind the rise of AI. The talk
will then place AI in the context of being a potentially disruptive technology
on society. This will lead to a discussion about ethics and moral issues
regarding the development and use of aspects of AI as a dual-use
technology. Time permitting, the role of
AI in defence and security will be used as an example for appreciating the
complexity and ethical issues brought on by AI. We will then turn to the role
of the engineer in this new world being enabled by AI.
Finally, we will review potential governance and
policy issues and options to address the rapid unchecked development and
application of AI within society at large; and, ultimately end with a
precautionary note.
Biography
The speaker was
a pioneer in the commercialization of AI in the 1980s and today is actively
involved in ethical and policy issues related to AI. Peter has an extensive background on the
forefront of scientific and technological breakthroughs around disruptive
technologies and their impacts on society.
He was an early proponent in the development and promotion of Big Data
and data analytics using High Performance Computers, and was a major
contributor in creating the Internet in Canada, among other accomplishments.
Peter has a
background as a scientist, business manager, entrepreneur, domestic and
international bureaucrat, executive, diplomat, management advisor, and
academic; including most recently affiliation with both Telfer School of
Management and the Faculty of Engineering at the University of Ottawa and the
Faculty of Engineering at Carleton University.
Peter also blogs on AI for the Institute on Science, Society and Policy,
an interfaculty organisation at uOttawa.
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Event
is free, but space is limited. All
participants must register in advance. Â
Please
follow the link to register
https://events.vtools.ieee.org/m/226058
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For
more information, please contact: Kexing Liu kexing.liu@ieee.org
​Dear Ottawa Section members,
the COVID-19 pandemic has reached a level of urgency that needs an “all hands on deck” approach..If you are still waiting to play a role by contributing your academic, professional or personal skills to find technology-based solutions: please join us on a web call to organise a response:
Organiser: IEEE-Ottawa SIG on Humanitarian Technology
Date: Friday April 10
Time: 16h30
URL:Â Google Meet invitation
    https://meet.google.com/wep-xofb-uzo?authuser=1&hs=122
Tentative agenda:
(5min) Introductions
(15min) Sharing of IEEE-specific COVID-19 resources
(25min) Roundtable of local resources
(15min) Roundtable of known needs
(* min) Open discussion & wrap-up
Please RSVP by emailing: alfredo.herrera@ieee.org : this will enable us to prepare the agenda and round table with a number of participants in mind.