IEEE Ottawa Seminar Series on AI and Machine Learning: AI-Driven 5G Networks & Beyond

By Hatem Abou-Zeid, Ericsson Canada

IEEE Ottawa Seminar Series on AI and Machine Learning

Presented by IEEE Ottawa CS Chapter, ComSoc Chapter, and SP Chapter, jointly with Vitesse- Reskilling

Date

Wednesday, Oct 30, 2019

Location

359 Terry Fox Drive, Kanata, Ontario

Agenda

11:30 AM – 12:00 PM: Light Lunch and Networking

12:00 PM – 1:00 PM  : Presentation and Q&A

1:00 PM – 1:30 PM    : Post Presentation Networking

The Canadian Space Society’s annual Space Summit is Canada’s leading conference devoted to space science, research and technology. With an annual attendance that is continually growing, the Summit brings together space professionals from industry, academia, government and enthusiasts from all walks of life. The Canadian Space Summit is THE place to learn about the latest trends, technologies and political issues taking place in the space industry. With sessions on everything from astronomy,satellites, medicine and law and policy, the Canadian Space Summit touches upon every facet affecting Canada’s space industry!

This year’s theme: From LEO to Lunar.

Volunteers will be needed. An excellent opportunity for graduate students pursuing space technology. Contact Wolfram Lunscher LSM-IEEE.

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

—————————————————————-

Wednesday, April 22, 2020

359 Terry Fox Drive, Suite 200, Kanata, Ontario

11:30 – 13:30

—————————————————————-

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.

 

—————————————————————-

Event
is free, but space is limited.  All
participants must register in advance.   

Please
follow the link to register

https://events.vtools.ieee.org/m/226058

—————————————————————-

For
more information, please contact: Kexing Liu kexing.liu@ieee.org

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

—————————————————————-

Wednesday, April 22, 2020

On-line Webinar

112:00 non – 13:30

—————————————————————-

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.

 

—————————————————————-

Event
is free, but space is limited.  All
participants must register in advance.   

Please
follow the link to register

https://events.vtools.ieee.org/m/226058

—————————————————————-

For more information,
please contact: Kexing Liu kexing.liu@ieee.org

Date: Sept 24th, 2020

Time: 02:00 PM to 03:00 PM EDT

Speaker: Ken Coates, Professor, University of Saskatchewan

Topic: Technology-Enabled Indigenous and Remote Communities

Registration: https://events.vtools.ieee.org/m/238665 

Summary:

As the COVID-19 Pandemic demonstrated, almost all Indigenous and remote communities suffered from serious infrastructure deficits.  With limited or unreliable Internet, poor quality electricity, and weak health care services, these communities were uniquely vulnerable to the disease and the economic and social challenges that accompanied the pandemic.  But Canadians already knew that Indigenous and remote communities are poorly served and largely lift out of the so-called “innovation economy.”  It is time to develop a strategy for bringing technology-enabled opportunities to Indigenous and remote communities.  This webinar presents a model for digitally-enabled Indigenous and remote communities, explores the barriers to implementing this “inversion” of Canadian innovation and that contemplates strategies for addressing quality of life issues in collaboration with residents and local governments.

Biography:

Ken Coates is Canada Research Chair in Regional Innovation at the Johnson-Shoyama Graduate School of Public Policy, University of Saskatchewan. His work focuses on the development of strategies to promote 21st century well-being in small town, rural, Indigenous and remote Canada. Ken’s major project examines the potential contributions — and negative impacts — of emerging technologies on rural and remote communities.

For more information and speaking opportunity, please contact, Dr Kexing Liu, IEEE Canada Outreach and Partnership Committee Chair, kexing.liu@ieee.org