Computer science professor Jordan Boyd-Graber is currently working on a National Science Foundation grant for "Bayesian Thinking on Your Feet: Embedding Generative Models in Reinforcement Learning for Sequentially Revealed Data." At first glance, this might not sound like fun, but in the paper, Besting the Quiz Master, Boyd-Graber showed how machine learning could be used to create a quiz bowl version of the Terminator that can take all human comers. This weekend, that proposed machine finally played a nervewracking 200-200 tie game against a team of four Jeopardy! champions (Kristin Sausville of single contestant Final Jeopardy fame, teacher tournament winner Colby Burnett, professional poker player Alex Jacob, and underdog Tournament of Champions winner Ben Ingram).
IBM's Watson computer destroys human competition in Jeopardy (prev). Gets welcomed by Ken (via). Celebrates by getting smashed on Conan.