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 Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously difficult for robots because they require precision, careful coordination of contact forces, and closed-loop visual feedback. Performing these tasks typically requires high-end robots, accurate sensors, or... Pretrained Language Models as Visual Planners for Human Assistance To make progress towards multi-modal AI assistants which can guide users to achieve complex multi-step goals, we propose the task of Visual Planning for Assistance (VPA). Given a goal briefly described in natural language, e.g., "make a shelf", and a video of the user's progress so far, the aim of... Generative Disco: Text-to-Video Generation for Music Visualization Visuals are a core part of our experience of music, owing to the way they can amplify the emotions and messages conveyed through the music. However, creating music visualization is a complex, time-consuming, and resource-intensive process. We introduce Generative Disco, a generative AI system that... More featured content News Articles How to Create a Vocabulary for NLP Tasks in Python How well can computers connect symptoms to diseases? 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 Tech firms are winning the AI race because they understand data – other sectors need to catch up How Data Analytics Can Assist in Fraud Detection AI can now read emotions – should it? Tool predicts how fast code will run on a chip When machine learning packs an economic punch What is Machine Learning on Code? 5 Statistical Traps Data Scientists Should Avoid How can we make sure that algorithms are fair? More news