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 Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models We present Branch-Train-Merge (BTM), a communication-efficient algorithm for embarrassingly parallel training of large language models (LLMs). We show it is possible to independently train subparts of a new class of LLMs on different subsets of the data, eliminating the massive multi-node... PlaneFormers: From Sparse View Planes to 3D Reconstruction We present an approach for the planar surface reconstruction of a scene from images with limited overlap. This reconstruction task is challenging since it requires jointly reasoning about single image 3D reconstruction, correspondence between images, and the relative camera pose between images. Past... On the Necessity of Auditable Algorithmic Definitions for Machine Unlearning Machine unlearning, i.e. having a model forget about some of its training data, has become increasingly more important as privacy legislation promotes variants of the right-to-be-forgotten. In the context of deep learning, approaches for machine unlearning are broadly categorized into two classes... More featured content News Articles Epilepsy: how an AI algorithm detects related brain abnormalities – new research Using artificial intelligence to control digital manufacturing 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 Teaching AI to ask clinical questions Irony machine: why are AI researchers teaching computers to recognise irony? Ride-hailing in Lagos: algorithmic impacts and driver resistance Startup lets doctors classify skin conditions with the snap of a picture Artificial intelligence model finds potential drug molecules a thousand times faster Push for AI innovation can create dangerous products Smart textiles sense how their users are moving Robot overcomes uncertainty to retrieve buried objects More news