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interact with the world around us. However, the power requirements and carbon emissions of AI are equally dramatic: training a single state of the art algorithm has the same carbon footprint as the lifecycle
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-identified scans, records and sensor feeds to answer questions such as: Can we predict a patient’s response to treatment without ever seeing their raw file? Can an algorithm learn the warning signs of trouble
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the ground, in different weather conditions. 4) develop methods for sensor management and data fusion linked with inference and decision making, jointly applied to several wildfire detection tasks. 5) embed
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