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 Causally Aware Generative Adversarial Networks for Light Pollution Control Artificial light plays an integral role in modern cities, significantly enhancing human productivity and the efficiency of civilization. However, excessive illumination can lead to light pollution, posing non-negligible threats to economic burdens, ecosystems, and human health. Despite its critical... Natural Language Processing for Dialects of a Language: A Survey State-of-the-art natural language processing (NLP) models are trained on massive training corpora, and report a superlative performance on evaluation datasets. This survey delves into an important attribute of these datasets: the dialect of a language. Motivated by the performance degradation of NLP... The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny? There are pronounced differences in the extent to which industrial and academic AI labs use computing resources. We provide a data-driven survey of the role of the compute divide in shaping machine learning research. We show that a compute divide has coincided with a reduced representation of... More featured content News Articles Tackling hard computational problems When researchers don’t have the proteins they need, they can get AI to ‘hallucinate’ new structures 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 Seeing the plasma edge of fusion experiments in new ways with artificial intelligence The problem with machine translation: beware the wisdom of the crowd Perfecting pitch perception Fine-Tuning Transformer Model for Invoice Recognition Nonsense can make sense to machine-learning models Our casual use of facial analysis tools can lead to more sinister applications High-Performance Deep Learning: How to train smaller, faster, and better models – Part 2 High Performance Deep Learning, Part 1 More news