When IBM's Watson computer beat two world champions at the game show Jeopardy! in 2011, it was a moment to marvel at how a machine could take comprehend the language of a question and could mine its vast memory for an appropriate response. Google scientists have found another use for Jeopardy! And this week, they've made that work an open-source software tool available on GitHub to anyone using Google's TensorFlow framework for machine learning. "Active Question Answering," or Active QA, as the TensorFlow package is called, will reformulate a given English-language question into multiple different re-wordings, and find the variant that does best at retrieving an answer from a database. The system was developed by feeding Jeopardy!