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 HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion Representing human performance at high-fidelity is an essential building block in diverse applications, such as film production, computer games or videoconferencing. To close the gap to production-level quality, we introduce HumanRF, a 4D dynamic neural scene representation that captures full-body... Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning We investigate whether Deep Reinforcement Learning (Deep RL) is able to synthesize sophisticated and safe movement skills for a low-cost, miniature humanoid robot that can be composed into complex behavioral strategies in dynamic environments. We used Deep RL to train a humanoid robot with 20... Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4 In this work, we carry out a data archaeology to infer books that are known to ChatGPT and GPT-4 using a name cloze membership inference query. We find that OpenAI models have memorized a wide collection of copyrighted materials, and that the degree of memorization is tied to the frequency with... More featured content News Articles Automatic Text Summarization in a Nutshell Hey Alexa! Sorry I fooled you... 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 E-mail Leave this field blank Automated system can rewrite outdated sentences in Wikipedia articles Machine Learning 101: The What, Why, and How of Weighting Bridging the gap between human and machine vision Getting Started with Automated Text Summarization AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020 AI could revolutionise DNA evidence – but right now we can’t trust the machines Technique reveals whether models of patient risk are accurate Using artificial intelligence to enrich digital maps More news