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Announcement – GCC 2020
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SAVE THE DATE
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19 March 2020
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McCarthy Tétrault
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Embassy of Canada
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in Montréal
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in Berlin
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Program Sequence – Overview
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19 March 2020
(all times subject to changes)
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Montréal
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Berlin
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approx. 10:00 - 12:00
Field Trip
TBD
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Morning |
approx. 12:00 - 13:00
Transfer
to the Embassy of Canada
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Afternoon |
approx. 13:00 - 14:30
Networking Lunch
at the Embassy of Canada
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Morning |
approx. 8:30 am - 1:00 pm
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approx. 14:30 - 19:00
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Transatlantic Symposium
(connected by video-link)
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McCarthy Tétrault
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Embassy of Canada
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Afternoon |
approx. 1:00 - 2:00 pm
Networking Lunch
at McCarthy Tétrault
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approx. 19:00 - 19:30
Transfer
to Networking Reception
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Evening
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approx. 2:00 - 3:00 pm
Transfer
to Field Trip location
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approx. 19:30 - 22:00
Networking Reception
Permanent Representation of the State of Bremen
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approx. 3:00 - 4:30 pm
Field Trip
TBD
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approx. 4:30 - 5:00 pm
Transfer
to Networking Reception
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Evening |
approx. 5:00 - 8:00 pm
Networking Reception
Aviseo Conseil
Jointly supported by:
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Conference Theme
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As the second installment of the GCC mini-series "AIQ – Canada's
and Germany's Artificial Intelligence Quotient", the GCC 2020 will
resume the discussion of GCC 2019 on Building Synapses of Transatlantic AI
Cooperation. The focus of the upcoming conference will be AI
in the aerospace industry.
AI in Aerospace Industry
According to a recent Boston Consulting Group / Aéro Montréal
study, the aerospace sector is not up to speed in adopting
Artificial Intelligence in comparison to other industries, but it
notes a shift towards launching AI initiatives. The study
identifies four main drivers which positively influence an
industry's inclination to adopt AI in their processes and business
models: Frequency of customer interaction / Generation of customer
data; Value of uncertainty / Need for trend predictions; Speed of
decision; Structural flexibility.
The automotive industry is well underway to base their business
models on AI-enabled technologies. (Semi-) Autonomous driving,
automatic maintenance and mobility as a service are a few examples
where AI is disrupting the automobile industry today.
The aerospace sector has grasped the potential of AI and there are
growing numbers of single-use applications as well as a few
end-to-end applications; we are starting to see how AI is impacting
and transforming the aerospace industry.
The aerospace industry embraces all activities and services related
to aircraft and spacecraft and consists of various stakeholders in
governments, corporations, agencies (civil and defense) as well as
research institutes and more and more start-ups. Key tasks within
the industry are project development, manufacturing and
construction, operations, education and training and related
research activities. Artificial Intelligence and Deep Learning have
entered all these fields; they have the potential to be a game
changer.
Thematic Focus GCC 2020
The GCC 2020 will put a focus on the following AI-related and
machine learning aspect in the aerospace domain:
- Mission autonomy and robotics – Enabler to support
autonomy in space and aeronautical missions. Examples include:
- Autonomous (formation) flying of unmanned aerial vehicles
or satellite constellations, complexity of mission tasking and
situational awareness;
- Deep space exploration with reduced
real-time human interaction
- Operation and maintenance of aerospace systems --
Optimized prediction of operation parameters to improve mission
efficiency and safety. Examples include:
- Better prediction of power or fuel consumption of an
aircraft / spacecraft;
- Air(space) traffic management to
reduce risk of collisions;
- Anomaly / failure detection and
maintenance prediction in complex aerospace systems by means of
deep learning;
- Logistics of aerospace, optimization of
handling activities;
- Training of operators
- Mission data analysis – Use of deep learning to assess
huge amounts of mission data and to recognize patterns. Examples
include:
- Autonomous analysis of satellite / drone imaging;
- Object detection in sensor data
The GCC aims to be at the forefront of an emerging innovative
development and to reflect the German-Canadian context. The topic
of the 2020 event has therefore been chosen deliberately to pave
the way for cooperation between Canada and Germany in an evolving
field of AI. The topic builds on previous GCC conference themes: Cooperation in the Space Sector (2013), Ocean Data Analytics and space-based and airborne
data collection (2016), Autonomous Flying (2017), Artificial Intelligence with a focus on autonomous
mobility (2019).
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a CANADA MEETS GERMANY NETWORK conference series
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