Tootfinder

#Bremen und umzu, bestätigte Boostermöglichkeit: Apotheke bei Dodenhof, #BioNTech #Comirnaty Impfung mit dem angepassten LP.8.1 Wirkstoff, jeden FR SA bis 18 Uhr - ohne Termin, keine dummen Fragen o…

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
https://arxiv.org/abs/2508.19393

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Analog subcircuit identification is a core task in analog design, essential for simulation, sizing, and layout. Traditional methods often require extensive human expertise, rule-based encoding, or large labeled datasets. To address these challenges, we propose GENIE-ASI, the first training-free, large language model (LLM)-based methodology for analog subcircuit identification. GENIE-ASI operates in two phases: it first uses in-context learning to derive natural language instructions from a few …