Abstract: A method optimizes a training of a machine learning system. A conflict detection system discovers a conflict between a first training data and a second training data for a machine learning system, where the first training data and the second training data are ground truths that describe a same type of entity, and where the first training data and the second training data have different labels. In response to discovering the conflict between the first training data and the second training data for the machine learning system, an oracle adjusts the different labels of the first training data and the second training data. The machine learning system is then trained using the first training data and the second training data with the adjusted labels.

Abstract: A platform is designed to support thin flat substrates, such as semiconductor wafers, during observation of characteristics of the substrates. The platform includes a rigid base having a top surface. A resilient pad is supported on the base and the pad has a top surface, at least a portion of which yieldingly supports a flat substrate placed thereon.