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Hardware/Software Codesign Methodology for High Performance On-Board Processing applied on the Artificial Intelligence of Space
The result of this project (which will be demonstrated by a use case) can make health equipments to be used outside of hospitals. This is achieved by reducing the computation cost of running Deep Learning models by 3rd party tools and use our accelerator solution to run the size reduced and optimized model. This greatly helps to lower the barrier for using costly equipments and make them more affordable and reachable to people in need of these equipments.
Faculty Supervisor:
Yvon Savaria;Guy Bois
Student:
Partner:
Space Codesign Systems
Discipline:
Engineering
Sector:
Information and cultural industries
University:
Polytechnique Montréal
Program:
Accelerate
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