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to serve teaching, research and innovation. As part of the ANR projects LEASARD and VORTEX, which aim to increase the navigation autonomy of drone fleets in complex environments via embedded AI and event
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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be defined at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g
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will be analyzed to produce design recommendations for regulators, professionals, and the general public. The work will be carried out at the LIRIS Laboratory (https://liris.cnrs.fr/ ) on the LyonTech-La
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generally, the digital continuum (HL-LHC, SKAO and SLICES-RI). ODISSEE will provide evolutionary and revolutionary hardware and software platforms to meet the digital challenges of these major infrastructures
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at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g. surveillance