Interactive approach to geospatial search combines aerial imagery, reinforcement learning Framework for large-scale geospatial exploration developed by computer scientists Yevgeniy Vorobeychik, Nathan Jacobs and Anindya Sarkar
Consistency, trustworthiness in large language models goal of new research Chenguang Wang plans to improve grounding ability with Google Research Scholar award. 08.15.2024
Humans change their own behavior when training AI McKelvey’s Chien-Ju Ho working with Art & Sciences’ Wouter Kool, DCDS PhD student Lauren Treiman to understand how human behavior changes in training AI. 08.07.2024
Deep learning models can be trained with limited data Ulugbek Kamilov, graduate students, develop method that could reduce errors in computational imaging. 07.10.2024
Ten new faculty to join McKelvey Engineering for 2024-25 New faculty bring range of experience from data science to biomechanics. 07.02.2024
Artificial intelligence meets cartography Graduate students in Nathan Jacobs’ lab presented mapping tools to create satellite images from text prompts at EarthVision 2024. 06.17.2024
Can weak human supervision train superhuman models? Chien-Ju Ho won a grant from OpenAI to study weak human supervision in training powerful machine learning models. 06.13.2024
New machine learning method can better predict spine surgery outcomes Chenyang Lu leads collaboration using Fitbit data from patients. 05.30.2024
DeFake tool protects voice recordings from cybercriminals Ning Zhang is one of three winners of the Federal Trade Commission’s Voice Cloning Challenge to prevent, monitor and evaluate malicious voice cloning. 04.18.2024
The Ursaworks Robotics Club triumphs on the battlefield The team has upped its game since a fifth-place showing in 2023. 04.18.2024