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In this talk,making use of interesting connections between stochastic differential equations and information theory,we derive the capacity regions of several classes of continuous-time Gaussian channels.The "complete" results obtained in this work stand in stark contrast to the status quo of network information theory in discrete-time,where the capacity regions of the all the above-mentioned channels are known only for a handful of special scenarios.