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 Data Distillation: A Survey The popularity of deep learning has led to the curation of a vast number of massive and multifarious datasets. Despite having close-to-human performance on individual tasks, training parameter-hungry models on large datasets poses multi-faceted problems such as (a) high model-training time; (b) slow... TRUE: Re-evaluating Factual Consistency Evaluation Grounded text generation systems often generate text that contains factual inconsistencies, hindering their real-world applicability. Automatic factual consistency evaluation may help alleviate this limitation by accelerating evaluation cycles, filtering inconsistent outputs and augmenting training... Dissociating language and thought in large language models: a cognitive perspective Today's large language models (LLMs) routinely generate coherent, grammatical and seemingly meaningful paragraphs of text. This achievement has led to speculation that these networks are -- or will soon become -- "thinking machines", capable of performing tasks that require abstract knowledge and... More featured content News Articles Artificial intelligence can now emulate human behaviors – soon it will be dangerously good Curious Kids: who is Siri? 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 Artificial intelligence in Australia needs to get ethical, so we have a plan Teaching machines to reason about what they see Machine learning moves popular data elements into a bucket of their own The future of agriculture is computerized In an AI era, lessons from dinosaurs help us adapt to the future of work Kicking neural network design automation into high gear Model learns how individual amino acids determine protein function Machine learning identifies links between world’s oceans More news