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 What Can Transformers Learn In-Context? A Case Study of Simple Function Classes In-context learning refers to the ability of a model to condition on a prompt sequence consisting of in-context examples (input-output pairs corresponding to some task) along with a new query input, and generate the corresponding output. Crucially, in-context learning happens only at inference time... Testing Relational Understanding in Text-Guided Image Generation Relations are basic building blocks of human cognition. Classic and recent work suggests that many relations are early developing, and quickly perceived. Machine models that aspire to human-level perception and reasoning should reflect the ability to recognize and reason generatively about relations... Neural Radiance Transfer Fields for Relightable Novel-view Synthesis with Global Illumination Given a set of images of a scene, the re-rendering of this scene from novel views and lighting conditions is an important and challenging problem in Computer Vision and Graphics. On the one hand, most existing works in Computer Vision usually impose many assumptions regarding the image formation... More featured content News Articles Many medications affect more than one target in the body – some drug designers are embracing the ‘side effects’ that had been seen as a drawback Building explainability into the components of machine-learning models 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 Robots play with play dough Seeing the whole from some of the parts Keeping web-browsing data safe from hackers In Farming, a Constant Drive For Technology Do AI systems really have their own secret language? The downside of machine learning in health care AI and machine learning are improving weather forecasts, but they won’t replace human experts In bias we trust? More news