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 Undesirable biases in NLP: Averting a crisis of measurement As Natural Language Processing (NLP) technology rapidly develops and spreads into daily life, it becomes crucial to anticipate how its use could harm people. However, our ways of assessing the biases of NLP models have not kept up. While especially the detection of English gender bias in such models... On the Role of Parallel Data in Cross-lingual Transfer Learning While prior work has established that the use of parallel data is conducive for cross-lingual learning, it is unclear if the improvements come from the data itself, or if it is the modeling of parallel interactions that matters. Exploring this, we examine the usage of unsupervised machine... Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance Complex and contact-rich robotic manipulation tasks, particularly those that involve multi-fingered hands and underactuated object manipulation, present a significant challenge to any control method. Methods based on reinforcement learning offer an appealing choice for such settings, as they can... More featured content News Articles MIT robot combines vision and touch to learn the game of Jenga Filling the gaps in a patient’s medical data 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 Understanding ethnic cleansing by mining a trove of text Identifying artificial intelligence “blind spots” Democratizing artificial intelligence in health care 3Q: Judah Cohen on improving seasonal weather forecasting How AI could help you learn sign language Fortifying the future of cryptography Democratizing data science Very risky business: the pros and cons of insurance companies embracing artificial intelligence More news