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recovery in the event of failures; (b) design and develop an efficient parameter and optimiser compression algorithm for the checkpointing process during model training; and (c) perform any other
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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efficient Federated Learning ecosystem; (f) lead cross-functional teams (including algorithm engineers, data scientists, product managers, development engineers, etc.) to define roles, formulate plans and
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analysis; (b) develop and implement algorithms for 3D perception (e.g. segmentation, localization and mapping); (c) design and execute experiments to evaluate, validate and refine algorithms and
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project - “Establishment of joint research centre on brain-inspired computing”. He/She will be required to: (a) conduct the research on the development of neuromorphic foundation models and brain