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
Mar 17 11:00 am Communicating High-Dimensional Data through Dimensionality Reduction and Interactive Visualizations at McKelvey 1020
Foundation AI model predicts postoperative risks from clinical notes AI for Health Institute team unveils a versatile large language model to enhance perioperative care. 03.03.2025
Multimodal AI tool supports ecological applications Computer scientists led by Nathan Jacobs developed TaxaBind, an artificial intelligence tool that combines six information streams to address ecological problems. 03.03.2025
AI tool helps make trustworthy, explainable scheduling decisions William Yeoh and Stylianos Vasileiou developed TRACE-cs, a hybrid system that combines symbolic reasoning with large language models to solve course scheduling problems. 02.28.2025
Traditional computer security principles can help develop secure agentic systems Umar Iqbal, collaborators develop IsolateGPT to make LLM-based agents more secure. 02.17.2025
TRIADS announces new round of seed grants Eight transdisciplinary teams will leverage data science to address pressing societal questions. 02.14.2025
Jacobs appointed for digital transformation Nathan Jacobs has been appointed to a leadership post supporting the university’s Digital Intelligence & Innovation (DI2) Accelerator. 02.10.2025
Engineering AI for Health with Chenyang Lu Computer scientist Chenyang Lu kicks off a new season of Engineering the Future with a discussion of how AI is impacting human health. 02.05.2025
Chen receives St. Louis Innovator Award from St. Louis Bar Association The award recognizes his innovation and entrepreneurship. 01.28.2025
Chen elected Fellow of the Association for the Advancement of Artificial Intelligence Yixin Chen is the first from WashU to be elected a fellow. 01.21.2025