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AI Tools and Foundations at Ridgley Hall

Dhakal receives 2026 Google PhD residency

Aayush Dhakal, a doctoral student in Nathan Jacobs’ lab, will work on building AI-powered platform to modernize electrical grid.

07.14.2026

CSE faculty, students win ACL Outstanding Paper award

Doctoral student Luise Ge, alumnus Ryan Zhang and Professor Yevgeniy Vorobeychik won the Outstanding Paper award from the Association for Computational Linguistics.

07.14.2026

From St. Louis to Silicon Valley

Alumna Mindy Borovsky continues to use skills learned in the classroom and on the court.

06.29.2026

With a five-year, nearly $600,000 CAREER Award from the National Science Foundation, Jiaxin Huang, assistant professor of computer science & engineering, plans to create an efficient, multi-step reasoning framework for large language models that could integrate external knowledge from different sources to generate a solution or conclusion. (Credit: iStock photo)

Large language models to learn how to reason

Jiaxin Huang to focus on adaptive knowledge synthesis with NSF CAREER Award.

06.24.2026

AI for Health seed grant program awards nearly $300,000 to advance AI-driven health research

Annual program supports innovative collaborations between artificial intelligence and health researchers across WashU.

06.09.2026

New minor in computational artificial intelligence offered at Washington University in St. Louis

Program will prepare students for research and careers that require competence with artificial intelligence.

06.01.2026

Is this Brookings Hall, or an altered photo? This real photo of Brookings Hall has been altered to include stained glass windows above the archway. A team of computer scientists in Nathan Jacobs’ lab has developed a model that learns to detect fake images by learning which are real. (Credit: Jacobs lab using Nano Banana 2 model in Google Flow)

Model uses real image to train AI to look for fakes

Nathan Jacobs’ lab tackles detecting AI-generated images with the real thing.

06.01.2026

With a grant from Taylor Geospatial, Nathan Jacobs’ lab is collaborating with researchers at Arizona State University, alongside partners NASA’s Goddard Space Flight Center, NASA Harvest and Famine Early Warning Systems Network (FEWS NET), to create a GeoAI capability to identify early signals of instability in food systems. The image shows prepared fields (from left) in January-March, January-June, and January-December. (Credit Taylor Geospatial)

Tool to predict crop instability to be developed at WashU, Arizona State

Nathan Jacobs, collaborators win award from Taylor Geospatial.

05.27.2026

Nathan Jacobs’ lab developed ProM3E, a model that accepts any combination of inputs — a photograph, an audio recording, a satellite image, geographic location and more — and uses whatever it's given to help identify different species observed in nature. The model was used with data from iNaturalist and eBird, which has millions of pictures of plants, animals and birds, including this Northern Cardinal photographed in the St. Louis area, uploaded by users. (Credit: Alexander Viduetsky, iNaturalist).

AI model looks for missing pieces to puzzle

Nathan Jacobs’ lab builds multimodal embedding model.

05.26.2026