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 Multimodal Foundation Models: From Specialists to General-Purpose Assistants This paper presents a comprehensive survey of the taxonomy and evolution of multimodal foundation models that demonstrate vision and vision-language capabilities, focusing on the transition from specialist models to general-purpose assistants. The research landscape encompasses five core topics... Private Distribution Testing with Heterogeneous Constraints: Your Epsilon Might Not Be Mine Private closeness testing asks to decide whether the underlying probability distributions of two sensitive datasets are identical or differ significantly in statistical distance, while guaranteeing (differential) privacy of the data. As in most (if not all) distribution testing questions studied... An Empirical Analysis of Racial Categories in the Algorithmic Fairness Literature Recent work in algorithmic fairness has highlighted the challenge of defining racial categories for the purposes of anti-discrimination. These challenges are not new but have previously fallen to the state, which enacts race through government statistics, policies, and evidentiary standards in anti... More featured content News Articles Refugees are at risk from dystopian ‘smart border’ technology First Steps of a Data Science Project 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 ‘Rules as Code’ will let computers apply laws and regulations. But over-rigid interpretations would undermine our freedoms Shrinking massive neural networks used to model language Understanding Time Series with R Spam Filter in Python: Naive Bayes from Scratch A neural network learns when it should not be trusted Data Scientists Have Developed a Faster Way to Reduce Pollution, Cut Greenhouse Gas Emissions System brings deep learning to “internet of things” devices Getting Started with TensorFlow 2 More news