News & Events

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

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

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

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

AI for Health Institute researchers developed a framework to address AI-human collaboration, which is among the most important problems in AI for healthcare today. (Credit: Lu lab, ChatGPT)

Clinical AI that is more honest about what it doesn’t know

AI for Health Institute researchers develop framework that helps clinical language models know when to be confident, when to be cautious.

05.20.2026

Complex problems like sorting supply chain routes, traffic systems in cities or designing optimized chemical compounds, require “discovery machines”, super computers combining neuromorphic architectures with quantum mechanical tunneling. (Image: Shutterstock)

How to build a discovery machine

Engineers at Washington University in St. Louis have mapped out further details for how to create “discovery machines” for solving problems with potentially trillions of complicating factors.

05.11.2026

Class Acts: Ruiqi Wang

Wang's passion for machine-learning led him to help develop the "test kitchen."

05.11.2026

Nathan Jacobs in McKelvey Engineering was part of a collaboration of academic and industry researchers who developed a model of every agricultural field boundary worldwide. (Credit: Taylor Geospatial)

Boundaries of agricultural fields worldwide now publicly available

Nathan Jacobs, collaborators launch model that could transform agriculture, food security.

05.05.2026