Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers Ethical Challenges in Gamified Education Research and Development: An Umbrella Review and Potential Directions Gamification is a technological, economic, cultural, and societal development toward promoting a more game-like reality. As this emergent phenomenon has been gradually consolidated into our daily lives, especially in educational settings, many scholars and practitioners face a major challenge ahead... Multi-view Fuzzy Representation Learning with Rules based Model Unsupervised multi-view representation learning has been extensively studied for mining multi-view data. However, some critical challenges remain. On the one hand, the existing methods cannot explore multi-view data comprehensively since they usually learn a common representation between views... Incremental Blockwise Beam Search for Simultaneous Speech Translation with Controllable Quality-Latency Tradeoff Blockwise self-attentional encoder models have recently emerged as one promising end-to-end approach to simultaneous speech translation. These models employ a blockwise beam search with hypothesis reliability scoring to determine when to wait for more input speech before translating further. However... More featured content News Articles Making smart thermostats more efficient 4 ways to improve your TensorFlow model – key regularization techniques you need to know Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank Want cheaper nuclear energy? Turn the design process into a game Method finds hidden warning signals in measurements collected over time 5 Different Ways to Load Data in Python How humans use objects in novel ways to solve problems It takes a lot of energy for machines to learn – here’s why AI is so power-hungry Building machines that better understand human goals R squared Does Not Measure Predictive Capacity or Statistical Adequacy Neuroscientists find a way to make object-recognition models perform better More news