An adaptive digital twin for smarter machining, accepted at an IEEE conference

CNC machines cut the precision parts that modern manufacturing depends on, and tuning them means balancing speed, quality and cost at the same time. Adit built an adaptive digital twin, a virtual model of the machining process that adjusts to each component's complexity, and used machine learning to optimize across multiple objectives. Reviewers noted the framework outperformed fixed, rules-based and standard machine learning approaches, with clear analysis of noise robustness and ablations.