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 Neural networks: from the perceptron to deep nets Artificial networks have been studied through the prism of statistical mechanics as disordered systems since the 80s, starting from the simple models of Hopfield's associative memory and the single-neuron perceptron classifier. Assuming data is generated by a teacher model, asymptotic generalisation... 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... More featured content News Articles An Eight-Step Checklist for An Analytics Project How to Create a Vocabulary for NLP Tasks in Python 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 How well can computers connect symptoms to diseases? 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 More news