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CL-PINN outperforms traditional methods by balancing accuracy and efficiency, making it a game-changer for solving parameterized PDEs without observational data.
SNNs, often touted for their bio-plausibility and security, are alarmingly susceptible to adversarial attacks that mimic neural firing patterns in PTSD, achieving near-perfect attack success.
