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Datakalab

Datakalab Thesis topics

Datakalab Thesis topics

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Datakalab is a startup specializing in low-power, runtime-efficient, privacy-friendly and fully embedded deep learning algorithms. Their research work has been published in the best conferences and journals in the field (T-PAMI, NeurIPS, ICCV, CVPR, AAAI):

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If you are interested in any of these topics, please contact Eric Tordjeman or Lucas Fischer.