The ionosphere is a swirling sea of charged particles that lies in Earth’s upper atmosphere. The ions accumulate when solar radiation collides with atmospheric gas molecules, knocking off some of their electrons. Variations in the free electron density across the ionosphere are one of the largest sources of error in satellite navigation systems such as […]
We introduce Anthology, a method for conditioning LLMs to representative, consistent, and diverse virtual personas by generating and utilizing naturalistic backstories with rich details of individual values and experience. What does it mean for large language models (LLMs) to be trained on massive text corpora, collectively produced by millions and billions of distinctive human authors?
Human attention is intricately linked with and shapes decision-making behavior, such as subjective preferences and ratings. Yet prior research has often studied these in isolation. For example, there’s a large body of work on predictive models of human attention, which are known to be useful for various applications, ranging from reducing visual distraction to optimizing
Results We compare the performance of the four methods on manually annotated ground truth data, then apply the best-performing method to a large corpus of Web datasets in order to understand the prevalence of different provenance relationships between those datasets. We generated a corpus of dataset metadata by crawling the Web to find pages with
Research Published 30 October 2024 Authors Zalán Borsos, Matt Sharifi and Marco Tagliasacchi Our pioneering speech generation technologies are helping people around the world interact with more natural, conversational and intuitive digital assistants and AI tools. Speech is central to human connection. It helps people around the world exchange information and ideas, express emotions and
Digital note-taking is gaining popularity, offering a durable, editable, and easily indexable way of storing notes in a vectorized form. However, a substantial gap remains between digital note-taking and traditional pen-and-paper note-taking, a practice still favored by a majority of people. Bridging this gap by converting a note taker’s physical writing into a digital form
Applications in mental health research In our second paper, “Evidence of Differences in Diurnal Electrodermal, Temperature, and Heart Rate Patterns by Mental Health Status in Free-Living Data”, we analyze data for a more specific context, mental health and wellbeing. EDA is a measure of sympathetic arousal that has been linked to depression in laboratory experiments.
This work was made possible by core research and engineering efforts from Andrea Agostinelli, Zalán Borsos, George Brower, Antoine Caillon, Cătălina Cangea, Noah Constant, Michael Chang, Chris Deaner, Timo Denk, Chris Donahue, Michael Dooley, Jesse Engel, Christian Frank, Beat Gfeller, Tobenna Peter Igwe, Drew Jaegle, Matej Kastelic, Kazuya Kawakami, Pen Li, Ethan Manilow, Yotam Mann,
