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 AANG: Automating Auxiliary Learning Auxiliary objectives, supplementary learning signals that are introduced to help aid learning on data-starved or highly complex end-tasks, are commonplace in machine learning. Whilst much work has been done to formulate useful auxiliary objectives, their construction is still an art which proceeds... Computing with Categories in Machine Learning Category theory has been successfully applied in various domains of science, shedding light on universal principles unifying diverse phenomena and thereby enabling knowledge transfer between them. Applications to machine learning have been pursued recently, and yet there is still a gap between... Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction Trust between team members is an essential requirement for any successful cooperation. Thus, engendering and maintaining the fellow team members' trust becomes a central responsibility for any member trying to not only successfully participate in the task but to ensure the team achieves its goals... More featured content News Articles Teaching machines to reason about what they see Machine learning moves popular data elements into a bucket of their own 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 The future of agriculture is computerized In an AI era, lessons from dinosaurs help us adapt to the future of work Kicking neural network design automation into high gear Model learns how individual amino acids determine protein function Machine learning identifies links between world’s oceans The Bitter Lesson New AI art has artists, collaborators wondering: Who gets the credit? AI in schools — here’s what we need to consider More news