Page 3 - MScAI - Master of science in Artificial Intelligence

Applied to society

TRANSPORTATION / MOBILITY

Transportation accounts for a large part of energy consumption. Private
SUSTAINABLE ENERGY cars are a major source of pollution. Transitioning to new forms of shared

/ sustainable mobility poses a huge challenge. Artificial intelligence has
Renewable energy plays a huge part in the building of a better future, and a major contribution to make in the mobility revolution, particularly the
Artificial Intelligence is a fundamental building block of the clean energy multimodal urban mobility of the future.
transition: contributing to the improvement and acceleration of the Crucial areas include designing resilient public transport networks,
energy industry; improving our ability to understand and forecast energy addressing road safety for autonomous vehicles, predicting traffic flows
demand; managing network infrastructures; sustainably managing natural to minimize congestion, AI for transport operations planning / regulation
resources in a way that is balanced. and asset management.
We face a further challenge as we strive to make AI energy efficient, by
optimizing AI architectures to balance efficiency and energy consumption. Join us as we apply Artificial Intelligence to designing new forms of
Become a part of Energy Transition through AI, and join the Energy track mobility for tomorrow.
in the Msc AI!

INDUSTRY OF THE FUTURE

Digital, physical and virtual worlds generate huge shifts in industry.
HEALTHCARE / BIOMEDICAL Artificial intelligence is central to this revolution. Typical examples of how
AI contributes to industry transformation include predictive maintenance,
Artificial intelligence is a powerful lever for improving medicine and digital twins and robotics.
healthcare. The benefits of Artificial Intelligence in medicine and health
are everywhere to be seen: improved pathology detection and diagnosis; The industrial systems of the future will involve a form of collaboration
personalized medicine; informed patient care; better organized healthcare between human operators and software agents in which the two
systems. work together (man-machine teaming). The challenges of this field of
AI technologies and methods have already been proven successful in a application require trustworthy, safe, robust and explainable AI in order to
variety of health applications and the potential to progress yet further is design industrial systems of the future that are driven by humans.
enormous.
Join our program if you want to be a part of inventing and designing the
In this sector more than in others, AI designers are faced with ethical industry of tomorrow
questions concerning respect for private data.

If you are interested in using AI to build a more efficient healthcare sector
that shows respect for the patient, come and join the MSc AI health track.

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