Following a decision of our partners to cancel all larger gatherings at their premises due to the need for heightened precaution to deal with the COVID-19 situation, the German Canadian Concourse on 19 March 2020 cannot take place.
DFKI – German Research Centre for Artificial Intelligence
Dataperformers
DLR – German Aerospace Center (German Space Operations Centre)
Airbus Defence and Space
3D.aero
LexaTexer
Further program contributions will be announced shortly ...
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
The aerospace sector is not up to speed in adopting Artificial
Intelligence in comparison to other industries, but one can note a
shift towards launching AI initiatives. 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.
The GCC 2020 will put a focus on the following AI-related and
machine learning aspect in the aerospace domain.
Session: AI Enabling Autonomy in Aerospace
The session addresses the role of Artificial Intelligence in
advancing the autonomy of aerospace systems (including the fields
of civil aviation, unmanned aerial vehicles and space systems). The
level of autonomy currently in use differs significantly depending
on the application context. While unmanned systems (e.g., UAVs and
drone swarms) already require a high level of autonomy, civil
aviation is not expected to reach full autonomy in the foreseeable
future. Besides maturation of the underlying technology
(algorithms, sensors) and the related technical infrastructure
(high-speed data communication networks), autonomous systems need
to qualified and certified. This is particularly a challenge for
systems relying on Artificial Intelligence and machine learning
techniques which per se are not deterministic.
Besides highlighting the visions for autonomy in aerospace and the
progress made, the session will discuss ways to (virtually) qualify
AI systems for advancing the level of autonomy. We will discuss how
qualification standards can play a role for certification through
regulatory bodies and which role social acceptance plays. We will
address the "Single Pilot Concept" as a hybrid solution introducing
AI replacing the co-pilot and showcases from unmanned flying. We
further will talk about the importance of training and simulation
techniques (using AI) to prepare operators of such systems.
Session: AI Pushing Space Boundaries
The session addresses ways in which Artificial Intelligence is
enabling new opportunities for space systems. The use of AI in data
analysis is an essential aspect to extract information from large
quantities of mission data and to advance autonomy of complex space
missions. The session aims to showcase the use of AI for object
detection in sensor data applicable in space missions.
AI further plays a role in space situational awareness for improved
tracking of objects in orbit and tracing of space debris, as well
as in analyzing earth observation data. An additional application
is the use of AI for robotics and exploration systems which require
autonomous decision taking due to limited possibilities for
operators to intervene. We will address the question of how
Artificial Intelligence will influence mission
operations.
Spacecraft typically must cope with technical constraints such as
limited computational performance and power resources which pose
additional requirements for the implementation of AI solutions on
board. We will speak about the development of AI models and
embedded solutions under these limitations for specific application
on space-borne systems.
a CANADA MEETS GERMANY NETWORK conference series
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