When Lives Depend on Your Machine-Learned Model
“How to validate training data is an open question that might be addressed by some combination of characterizing the data as well as the data generation or data collection process.”
‘Challenges in Autonomous Vehicle Testing and Validation’, Koopman and Wagner, 2016
Last summer, we published a piece on safety-critical capabilities in EDA. But we left an open, unanswered question at the end: how do you validate a model created by machine learning (ML)? It wasn’t a trivial topic at the time, … Read More → "When Lives Depend on Your Machine-Learned Model"

