I think the correct way to go with this is to possibly use deep learning to find better patterns and weightings for position evaluation, but then incorporate th

I think the correct way to go with this is to possibly use deep learning to find better patterns and weightings for position evaluation, but then incorporate that into one of the existing (fast) engines. The throughput really matters, but I don't think anyone would state that (outside of tablebases) current evluators have been anywhere near perfected.