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This session covers a broad range of technology advancements in analog, mixed-signal, and RF design, including layout, optimization, and calibration. The first paper introduces a new topological representation for analog layout design. The second paper deals with analog placement, integrating current flow and symmetry constraints. The third paper presents multi-objective Bayesian optimization for synthesis of analog/RF circuits, and the final paper proposes to design analog neural network processors by calibrating process variations with transfer learning.
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