Amber Tingle
Managing Editor, Research Publishing
News & features
Abstracts: NeurIPS 2024 with Weizhu Chen
| Amber Tingle and Weizhu Chen
Next-token prediction trains a language model on all tokens in a sequence. VP Weizhu Chen discusses his team’s 2024 NeurIPS paper on how distinguishing between useful and “noisy” tokens in pretraining can improve token efficiency and model performance.
Abstracts: NeurIPS 2024 with Dylan Foster
| Amber Tingle and Dylan Foster
Can existing algorithms designed for simple reinforcement learning problems be used to solve more complex RL problems? Researcher Dylan Foster discusses the modular approach he and his coauthors explored in their 2024 NeurIPS paper on RL under latent dynamics.
Abstracts: November 5, 2024
| Amber Tingle, Chris Hawblitzel, and Jay Lorch
Researchers Chris Hawblitzel and Jay Lorch share how progress in programming languages and verification approaches are bringing bug-free software within reach. Their work on the Rust verification tool Verus won the Distinguished Artifact Award at SOSP ’24.
Abstracts: September 30, 2024
| Amber Tingle, Daniela Massiceti, and Martin Grayson
The personalizable object recognizer Find My Things was recently recognized for accessible design. Researcher Daniela Massiceti and software development engineer Martin Grayson talk about the research project’s origins and the tech advances making it possible.
Abstracts: August 15, 2024
| Amber Tingle, Shrey Jain, and Zoë Hitzig
Advanced AI may make it easier for bad actors to deceive others online. A multidisciplinary research team is exploring one solution: a credential that allows people to show they’re not bots without sharing identifying information. Shrey Jain and Zoë Hitzig…