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Modern computation involving AI training and inference has significant energy requirements, especially at the edge. This affects everything from operational longevity to compute capacity and data transfer latency which impacts warfighter performance at the edge. O-CIRCUIT envisions addressing these challenges by developing unconventional biological processing units (BPUs) for edge learning and inference with minimal (mWh/day) power draw as well as extending these BPUs to sensing physical stimuli and outputting instructions such as directing drone navigation. 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Modern computation involving AI training and inference has significant energy requirements, especially at the edge. This affects everything from operational longevity to compute capacity and data transfer latency which impacts warfighter performance at the edge. O-CIRCUIT envisions addressing these challenges by developing unconventional biological processing units (BPUs) for edge learning and inference with minimal (mWh/day) power draw as well as extending these BPUs to sensing physical stimuli and outputting instructions such as directing drone navigation. 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