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on large annotated datasets. Memory-efficient deep learning: Model compression, pruning, quantisation, selective memory replay, and efficient training strategies. Energy-efficient deep learning: Methods
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safety challenges. The foremost issue lies in storage, hydrogen’s low volumetric energy density requires it to be stored either as a compressed gas at extremely high pressures or as a cryogenic liquid at
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analysis and compression tests. The wound healing ability of the scaffolds will be investigated using a range of biological assays including live/dead assays to determine cytocompatibility, confocal
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or 3-dimensional spaces, enabling insights about the underlying structure and distribution of the data. However, due to the heavy data compression into a space with only 2 or 3 degrees of freedom
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of a delamination can seriously reduce the strength and stiffness of a laminate especially under compressive buckling loads, potentially leading to catastrophic failure. We have developed new generation