Abstract: An artificial intelligence (AI) training method is disclosed. Training data associated with a training task is received. The training data is categorized into a plurality of categories. A set of category groups are generated, wherein each category group of the set of category groups includes one or more of the plurality of categories. A first AI system is trained for the training task using a first subset of the training data. The first subset of the training data corresponds to the one or more of the plurality of categories included in a first group of the set of category groups. A second AI system is trained for the training task using a second subset of the training data. The first AI system is used to generate a first output for the task and the second AI system to generate a second output for the task.

Abstract: The present invention relates to a process for the production of an organoborosilicon preceramic polymer of the structure: ##STR1## wherein R.sup.1 is selected from alkyl having from 1 to 10 carbon atoms or phenyl, and x is selected from 0, 1, 2 or 3;which is pyrolyzable to produce a refractory material comprising inorganic compounds of Si, C and B, which process comprises:contacting a silicon containing compound of the structure:(R.sup.1).sub.x --Si--(CH.dbd.CH.sub.2).sub.4-x or (R.sup.1).sub.x Si--(C.tbd.CH).sub.4-xwith a boron containing compound selected from H.sub.3 B:BH.sub.3, H.sub.3 B:NH.sub.3, BH.sub.3 :N(R.sup.2).sub.3 wherein R.sub.2 is selected from methyl, ethyl, propyl, butyl or phenyl in an inert atmosphere at a temperature of between about 90.degree. and 170.degree. C. for between about 0.1 and 20 hr and recovering the prepolymer. The prepolymer is pyrolyzed to produce a ceramic article useful in high temperature (e.g., aerospace) or extreme environmental applications.