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Announcement – GCC 2020
 
AI in Aerospace
 
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19 March 2020
McCarthy Tétrault
Embassy of Canada
in Montréal in Berlin


GCC at LinkedIn Join the GCC 2019/20 LinkedIn group to exchange on the relevance of AI in Aerospace.

 
 
 
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Program Sequence – Overview
 

19 March 2020
(all times subject to changes)


Montréal Berlin
approx. 10:00 - 12:00

Field Trip

TBD


Morning
approx. 12:00 - 13:00

Transfer
to the Embassy of Canada
Afternoon
approx. 13:00 - 14:30

Networking Lunch
at the Embassy of Canada
Morning
approx. 8:30 am - 1:00 pm

approx. 14:30 - 19:00

Transatlantic Symposium
(connected by video-link)
McCarthy Tétrault

McCarthy Tétrault

Embassy of Canada

Embassy of Canada to Germany

Afternoon
approx. 1:00 - 2:00 pm

Networking Lunch
at McCarthy Tétrault
approx. 19:00 - 19:30

Transfer
to Networking Reception
Evening
approx. 2:00 - 3:00 pm

Transfer
to Field Trip location
approx. 19:30 - 22:00

Networking Reception

Permanent Representation of the State of Bremen

Freie Hansestadt Bremen


Aviaspace
approx. 3:00 - 4:30 pm

Field Trip

TBD

approx. 4:30 - 5:00 pm

Transfer
to Networking Reception
Evening
approx. 5:00 - 8:00 pm

Networking Reception

Aviseo Conseil

Aviseo Conseil


Jointly supported by:

Consulate General Montreal

State of Bavaria Montreal Office
State of Bavaria Montreal Office

 
 
 
 
 
Conference Theme
 
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).
 
Cooperating Partners
 
 
 
Ministere de l'Economie et de l'Innovation, Quebec
 
 
 
Ministry of Economic Development, Job Creation and Trade, Ontario
 
Hamburg Aviation
 
 
 
 
 
Partners, Session Hosts
 
 
 
McCarthy Tetrault
 
 
 
Embassy of Canada to Germany
 
 
 
Ministry of Economic Affairs, Labour and Ports
 
 
 
Aviaspace
 
 
 
Consulate General Montreal
 
 
 
State of Bavaria Montreal Office
 
 
 
Aviseo Conseil
 
 
 
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