Internship / Master’s Thesis – Embedded AI
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Implement hardware-dependent knowledge distillation for a compact multispectral object-detection student, then run the compiled student on commercially available M.2 AI accelerators that can be plugged into our DPUs.
In parallel, perform a trade-off study on knowledge distillation methods suited to this task.
The internship lasts 3 to 6 months and can start in January or February 2027. • Train a compact multispectral object-detection student from a teacher model, with Hinton-style knowledge dis…
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