Thresholds are dumb by design. How offline AI learns YOUR machine's normal, voltage SPC, thermal baselines, real code. Built between shifts. Marcin HCK Firmuga.
An article argues that AI thresholds are inherently flawed in their design. It proposes that offline AI systems can effectively learn a user's specific machine's normal operating parameters, including voltage, thermal baselines, and real code execution. This approach is presented as a method built "between shifts," suggesting an efficient, adaptive learning process. AI
IMPACT This perspective suggests a novel approach to AI learning that could lead to more personalized and efficient system monitoring.